Your role:
Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us: - combine Big Data Engineering and DevOps - collaborate with data scientists, data engineers, DevOps, product owners and business partners to design end-to-end solutions - control and monitor the platform performance and capacity - implement core Big Data platform capabilities - engage in the development of a new platform
Your team:
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich/Manno. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the UBS Business’ for a digital and analytical future! You'll participate in all phases of the development lifecycle and are responsible to design, document and maintain innovative applications. This role include significant responsibilities and development possibilities.
Your expertise:
- Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience - at least 2-4 years of experience with integration of Hadoop and 3rd party software products in existing IT ecosystem - at least 2-4 years of experience with container schedulers like YARN and /or Kubernetes - familiar with specific characteristics of the Hortonworks / Cloudera stack - several years of experience with automated deploy tools like Ansible - experience with Spark, Hive (LLAP), Kafka or NiFi is a plus - Experience with IBM DB2 is a plus - Experienced in implementing complex security requirements in the financial industry is a plus - Expert understanding of ETL principles and how to apply them within Hadoop is a plus - good abstraction and conceptual skills are combined with a self-reliant, team-minded, communicative, proactive personality You are: - a passionate Big Data Engineer and interested in new development languages as well as new technologies - proactive, looking for creative and innovative solutions - a flexible, open-minded and cooperative person - interested in working in a fast-paced international environment as part of an international team
20/09/2019
Full time
Your role:
Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us: - combine Big Data Engineering and DevOps - collaborate with data scientists, data engineers, DevOps, product owners and business partners to design end-to-end solutions - control and monitor the platform performance and capacity - implement core Big Data platform capabilities - engage in the development of a new platform
Your team:
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich/Manno. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the UBS Business’ for a digital and analytical future! You'll participate in all phases of the development lifecycle and are responsible to design, document and maintain innovative applications. This role include significant responsibilities and development possibilities.
Your expertise:
- Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience - at least 2-4 years of experience with integration of Hadoop and 3rd party software products in existing IT ecosystem - at least 2-4 years of experience with container schedulers like YARN and /or Kubernetes - familiar with specific characteristics of the Hortonworks / Cloudera stack - several years of experience with automated deploy tools like Ansible - experience with Spark, Hive (LLAP), Kafka or NiFi is a plus - Experience with IBM DB2 is a plus - Experienced in implementing complex security requirements in the financial industry is a plus - Expert understanding of ETL principles and how to apply them within Hadoop is a plus - good abstraction and conceptual skills are combined with a self-reliant, team-minded, communicative, proactive personality You are: - a passionate Big Data Engineer and interested in new development languages as well as new technologies - proactive, looking for creative and innovative solutions - a flexible, open-minded and cooperative person - interested in working in a fast-paced international environment as part of an international team
Your role :
Is curiosity part of your DNA? Do you have a passion for extracting information out of data? Do cross selling, predictive analytics or recommender system ring a bell? Do you have a strong interest in financial topics and the banking industry in general? Our goal is to use analytical competences for optimization of the client experience. We’re looking for someone who supports us to: • Drive the Sales & Investment Process through behavioral analytics • Identify business opportunities through systematic data based screenings • Deliver actionable client insights to sales- and investment units • Support Senior Management on strategic decisions with client book insights and simulations
Your team :
You’ll be working in our Offering, Sales & Pricing Analytics team in Opfikon. We are excited about turning numbers into actionable insights for our internal business partners. Programming is our tool to extract information out of our strong and evolving data science environment. We closely work together to find the best solutions for our clients.
Your expertise :
• Master/Bachelor in Natural Science, Mathematics, Data- or Process Design, or similar education • Initial experience in data analytics • Experience in machine learning methods is an advantage • Good communication skills and passionate about story telling • Strong programming skills in SAS, R, SQL or Python • Experience in financial services beneficial but not essential • Analytical flair, high quality awareness, interdisciplinary working style • Complexity is a challenge and not a problem for you
09/09/2019
Full time
Your role :
Is curiosity part of your DNA? Do you have a passion for extracting information out of data? Do cross selling, predictive analytics or recommender system ring a bell? Do you have a strong interest in financial topics and the banking industry in general? Our goal is to use analytical competences for optimization of the client experience. We’re looking for someone who supports us to: • Drive the Sales & Investment Process through behavioral analytics • Identify business opportunities through systematic data based screenings • Deliver actionable client insights to sales- and investment units • Support Senior Management on strategic decisions with client book insights and simulations
Your team :
You’ll be working in our Offering, Sales & Pricing Analytics team in Opfikon. We are excited about turning numbers into actionable insights for our internal business partners. Programming is our tool to extract information out of our strong and evolving data science environment. We closely work together to find the best solutions for our clients.
Your expertise :
• Master/Bachelor in Natural Science, Mathematics, Data- or Process Design, or similar education • Initial experience in data analytics • Experience in machine learning methods is an advantage • Good communication skills and passionate about story telling • Strong programming skills in SAS, R, SQL or Python • Experience in financial services beneficial but not essential • Analytical flair, high quality awareness, interdisciplinary working style • Complexity is a challenge and not a problem for you
Your role:
Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Do you know how to work well within a team to develop and deliver high quality solutions? Then we are looking for you to: – Develop methodologies for quantitative modelling of the probability of default (PD) and loss-given-default (LGD) for our Lombard portfolio for UBS Group – Use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models. – Bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models – Implement prototype models in R, MatLab or SAS, before being embedded into the productive risk infrastructure – Collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
Your team :
You’ll be working within the PD & LGD Lombard Credit Methodology team in Zürich, Switzerland. Your main responsibilities will be to develop and maintain UBS’s Advanced Internal Rating Based models covering our Lombard business. The framework captures all Lombard businesses world-wide ranging from retail clients to complex structured lending solutions for large UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives.
Your expertise :
– A Master's degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance) – Ideally 1-3 years' of experience in credit risk modelling or other areas of risk methodology and/or model development – Sound knowledge of statistical and econometric methods and their application – Strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, MatLab) is essential and experience with handling large datasets is a plus – Strong analytical, conceptual and organizational skills with the ability to work under tight deadlines – Interest in placing model development activities within the bigger picture of the organisation – Ability to influence and convince key stakeholders within the model development process
09/09/2019
Full time
Your role:
Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Do you know how to work well within a team to develop and deliver high quality solutions? Then we are looking for you to: – Develop methodologies for quantitative modelling of the probability of default (PD) and loss-given-default (LGD) for our Lombard portfolio for UBS Group – Use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models. – Bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models – Implement prototype models in R, MatLab or SAS, before being embedded into the productive risk infrastructure – Collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
Your team :
You’ll be working within the PD & LGD Lombard Credit Methodology team in Zürich, Switzerland. Your main responsibilities will be to develop and maintain UBS’s Advanced Internal Rating Based models covering our Lombard business. The framework captures all Lombard businesses world-wide ranging from retail clients to complex structured lending solutions for large UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives.
Your expertise :
– A Master's degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance) – Ideally 1-3 years' of experience in credit risk modelling or other areas of risk methodology and/or model development – Sound knowledge of statistical and econometric methods and their application – Strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, MatLab) is essential and experience with handling large datasets is a plus – Strong analytical, conceptual and organizational skills with the ability to work under tight deadlines – Interest in placing model development activities within the bigger picture of the organisation – Ability to influence and convince key stakeholders within the model development process
Your role:
Your role duties will include development of the UBS AML data analytics program with particular focus on Client Risk Rating and Transaction Monitoring models, and it includes the following tasks: - Bring modeling and data analytics expertise to develop, implement, and execute the Client Risk Rating - Develop and enhance Client Risk Rating methodology and ensure its alignment with UBS Model Governance policies and model life cycle. - Develop and conduct verification of Model Performance and Monitoring Confirmation Concept - Conduct model stress tests, calibration and impact analysis - Implement the ongoing model performance assessment standards for AML transaction monitoring tools - Support the model validation submission when conducted MRMC. - Support Model Owner in keeping the model documentation up-to-date and also assist with remediation plans when issues identified during model validation. - When necessary , conduct detailed anbalysis /testing of all model components (conceptual , theoretical review, qualifying and quantifying all risk dimensions). - Ensure all model artifacts are up to date in model management repository (CPAS). Alert Model Owner and FCP head of validation to plausible model weaknesses.
Your team :
You will be working in the Risk Assessments and Analytics and FCP Model Governance teams within global Financial Crime Prevention function. We work as a gatekeeper in preventing money laundering (AML), terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, develop firm-wide analytics program, carry out data mining exercises, contribute as modeling experts and evaluate money laundering country risks.
Your expertise :
– a university degree (BS, MS or PhD) in quantitative discipline: Mathematics, computer science, physics, engineering or economics/econometrics. – Prior experience in AML domain is a plus – good data analytics skills (e.g. SQL, MS Access, excel etc.) – Experience with advance SQL data analytics functions is a plus – good programming skills (e.g. Visual Basic, Java, C, C++, python, R etc.) – experience with model development and calibration – experience with Machine Learning – good record keeping, report drafting and judgment skills (experience with Latex, R-Rmarkdown, R suave) – Ability to establish, contribute to or enhance existing framework is a plus – fluent English skills (oral & written); Knowledge of other languages and cultures is an advantage – think out-of-the-box and be creative – able to explain technical concepts in simple terms to facilitate collaboration – analyze a problem, take a view and propose solutions – team player with ability to make things happen and stick with an individual task – known for having a strong attention to detail and strong research capability
09/09/2019
Full time
Your role:
Your role duties will include development of the UBS AML data analytics program with particular focus on Client Risk Rating and Transaction Monitoring models, and it includes the following tasks: - Bring modeling and data analytics expertise to develop, implement, and execute the Client Risk Rating - Develop and enhance Client Risk Rating methodology and ensure its alignment with UBS Model Governance policies and model life cycle. - Develop and conduct verification of Model Performance and Monitoring Confirmation Concept - Conduct model stress tests, calibration and impact analysis - Implement the ongoing model performance assessment standards for AML transaction monitoring tools - Support the model validation submission when conducted MRMC. - Support Model Owner in keeping the model documentation up-to-date and also assist with remediation plans when issues identified during model validation. - When necessary , conduct detailed anbalysis /testing of all model components (conceptual , theoretical review, qualifying and quantifying all risk dimensions). - Ensure all model artifacts are up to date in model management repository (CPAS). Alert Model Owner and FCP head of validation to plausible model weaknesses.
Your team :
You will be working in the Risk Assessments and Analytics and FCP Model Governance teams within global Financial Crime Prevention function. We work as a gatekeeper in preventing money laundering (AML), terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, develop firm-wide analytics program, carry out data mining exercises, contribute as modeling experts and evaluate money laundering country risks.
Your expertise :
– a university degree (BS, MS or PhD) in quantitative discipline: Mathematics, computer science, physics, engineering or economics/econometrics. – Prior experience in AML domain is a plus – good data analytics skills (e.g. SQL, MS Access, excel etc.) – Experience with advance SQL data analytics functions is a plus – good programming skills (e.g. Visual Basic, Java, C, C++, python, R etc.) – experience with model development and calibration – experience with Machine Learning – good record keeping, report drafting and judgment skills (experience with Latex, R-Rmarkdown, R suave) – Ability to establish, contribute to or enhance existing framework is a plus – fluent English skills (oral & written); Knowledge of other languages and cultures is an advantage – think out-of-the-box and be creative – able to explain technical concepts in simple terms to facilitate collaboration – analyze a problem, take a view and propose solutions – team player with ability to make things happen and stick with an individual task – known for having a strong attention to detail and strong research capability
Was ist Ihr nächster Meilenstein?
Industrial Data Analyst (m/f)
Unsere Business Unit Pharmaceutical Systems ist einer der weltweit führenden Anbieter von parenteralen Verpackungen und analytischen Labordienstleistungen für die pharmazeutische Industrie. Mehr als 600 Produktionslinien in 13 Ländern weltweit stellen mehr als 10 Milliarden Spritzen, Fläschchen, Ampullen, Karpulen und Spezialartikel aus Röhrenglas oder Kunststoff her.
Der Standort St. Gallen, mit über 500 Mitarbeitenden, ist einer der grössten Produktionsstandorte der Business Unit "Pharmaceutical Systems" und Kompetenzzentrum für die Produktbereiche Spritzen und Karpulen. Für unser global agierendes Technologiezentrum am Standort St. Gallen suchen wir nach Vereinbarung einen Data Analyst (m/f).
Ihre Aufgaben
Unterstützung der Entwicklung und Optimierung von Prozessen und Equipment mit statistischen Methoden
Entwicklung von Auswerte- und Prognosemethoden basierend auf Produkt-, Prozess- und Messdaten sowie Routineanalysen für die Prozessentwicklung und Produktion
Analyse und Prognose von Prozessen, Maschinen und Produkten
Erstellung von Lastenheften zur Datenanalyse und Visualisierung in Zusammenarbeit mit den Fachabteilungen
Planung, Durchführung oder Unterstützung in der Validierung/Dokumentation
Leitung oder Mitarbeit in Projekten zur Datenspeicherung, -analyse oder -visualisierung
Teilnahme an Foren zu statistischen Themen (Industrie 4.0 / Machine learning)
Schulung von Mitarbeitenden im Umgang mit statistischen Methoden
Ihr Profil
Technischer Abschluss (Fachhochschule oder Universität) im Bereich Datenanalyse, Physik, Fertigungstechnik oder Messtechnik
Mindestens 3 Jahre Berufserfahrung im Bereich der Datenanalyse von technischen Prozessen und deren Optimierung
Fundierte Kenntnisse in Statistik (vorzugsweise Erfahrungen mit SAS JMP, Matlab)
Kenntnisse in der Anwendung von Problemlösungsprozessen (Six-Sigma Green, Black Belt)
Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift
Reisebereitschaft bis zu 30%
Ihr Benefit
Motivierte und engagierte Mitarbeiter sind Voraussetzung für den Erfolg unseres Unternehmens. Dazu bieten wir Ihnen ein kollegiales und dynamisches Arbeitsumfeld, in welchem Sie Ihre innovativen Ideen einbringen, Ihre persönliche Entwicklung vorantreiben und Erfolge gemeinsam mit Ihrem Team erreichen können.
Es erwarten Sie sowohl interessante und herausfordernde Aufgaben in Feldern, die unsere Zukunft beeinflussen, als auch ein motiviertes und nettes Team. Wollen Sie mit uns erfolgreich sein? Dann senden Sie uns Ihre Bewerbung zu: SCHOTT Schweiz AG, Human Resources, Patrick Lorger
SCHOTT Schweiz AG, St. Gallen Human Resources, Patrick Lorger, +41712741657
26/08/2019
Full time
Was ist Ihr nächster Meilenstein?
Industrial Data Analyst (m/f)
Unsere Business Unit Pharmaceutical Systems ist einer der weltweit führenden Anbieter von parenteralen Verpackungen und analytischen Labordienstleistungen für die pharmazeutische Industrie. Mehr als 600 Produktionslinien in 13 Ländern weltweit stellen mehr als 10 Milliarden Spritzen, Fläschchen, Ampullen, Karpulen und Spezialartikel aus Röhrenglas oder Kunststoff her.
Der Standort St. Gallen, mit über 500 Mitarbeitenden, ist einer der grössten Produktionsstandorte der Business Unit "Pharmaceutical Systems" und Kompetenzzentrum für die Produktbereiche Spritzen und Karpulen. Für unser global agierendes Technologiezentrum am Standort St. Gallen suchen wir nach Vereinbarung einen Data Analyst (m/f).
Ihre Aufgaben
Unterstützung der Entwicklung und Optimierung von Prozessen und Equipment mit statistischen Methoden
Entwicklung von Auswerte- und Prognosemethoden basierend auf Produkt-, Prozess- und Messdaten sowie Routineanalysen für die Prozessentwicklung und Produktion
Analyse und Prognose von Prozessen, Maschinen und Produkten
Erstellung von Lastenheften zur Datenanalyse und Visualisierung in Zusammenarbeit mit den Fachabteilungen
Planung, Durchführung oder Unterstützung in der Validierung/Dokumentation
Leitung oder Mitarbeit in Projekten zur Datenspeicherung, -analyse oder -visualisierung
Teilnahme an Foren zu statistischen Themen (Industrie 4.0 / Machine learning)
Schulung von Mitarbeitenden im Umgang mit statistischen Methoden
Ihr Profil
Technischer Abschluss (Fachhochschule oder Universität) im Bereich Datenanalyse, Physik, Fertigungstechnik oder Messtechnik
Mindestens 3 Jahre Berufserfahrung im Bereich der Datenanalyse von technischen Prozessen und deren Optimierung
Fundierte Kenntnisse in Statistik (vorzugsweise Erfahrungen mit SAS JMP, Matlab)
Kenntnisse in der Anwendung von Problemlösungsprozessen (Six-Sigma Green, Black Belt)
Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift
Reisebereitschaft bis zu 30%
Ihr Benefit
Motivierte und engagierte Mitarbeiter sind Voraussetzung für den Erfolg unseres Unternehmens. Dazu bieten wir Ihnen ein kollegiales und dynamisches Arbeitsumfeld, in welchem Sie Ihre innovativen Ideen einbringen, Ihre persönliche Entwicklung vorantreiben und Erfolge gemeinsam mit Ihrem Team erreichen können.
Es erwarten Sie sowohl interessante und herausfordernde Aufgaben in Feldern, die unsere Zukunft beeinflussen, als auch ein motiviertes und nettes Team. Wollen Sie mit uns erfolgreich sein? Dann senden Sie uns Ihre Bewerbung zu: SCHOTT Schweiz AG, Human Resources, Patrick Lorger
SCHOTT Schweiz AG, St. Gallen Human Resources, Patrick Lorger, +41712741657
Overview
Bio-Rad is an innovative company and thanks to its laboratory diagnostic systems world leader in the field of blood group serology. Our company is involved in the supply of high-quality products and services intended for diagnostic laboratories. Independence, innovation and commitment are the fundamental values that permeate our company culture, as well as a strong orientation towards our customers and a multicultural environment. Bio-Rad in Cressier/Switzerland is looking for a Data An alys t for Global Manufacturing . This position is responsible for partnering with Global Manufacturing (EMEA and LATAM consumables sites) to identify opportunities for improvement in operations and processes.The role can be based in: Switzerland (Cressier or Basel) or France (Steenvoorde)
Responsibilities
Partners with team members in Global Manufacturing and functions to support new and ongoing business reporting, analytical and training needs.
Analyze existing data records, summarize quality and recommend solutions for compliance, cost saving and standardization opportunities
Collaborate with internal operational business partners and stakeholders to define opportunities for improving operations.
Define, develop and implement score card metrics and measurement tools.
Develop reports that analyze spending, opportunities for standardization opportunities.
Partner with senior analysts on initiatives to create new reports, metrics and dashboards based on business need.
Develop presentations and effectively communicate results to business partners.
Qualifications
Bachelor’s degree or equivalent in Business Administration, Information Systems, or manufacturing related discipline.
3+ years’ experience managing databases, providing timely user support, and writing reports, or equivalent combination of education and experience.
Advanced knowledge of the global manufacturing operations
Advanced quantitative skills with proficiency in data analysis (SAP) modeling (MS Excel), and presenting (MS PowerPoint).
Strong knowledge of data visualization tools such as PowerBI.
Strong interpersonal, organizational, analytical, problem solving, and time management skills.
Ability to take complex information and convey it to various levels of the organization in a clear and concise manner.
Ability to create and deliver presentations to technical and non-technical audiences.
Do you see your next professional challenge in this position? We look forward to receiving your application. If you click on "Apply", you have the option of submitting your complete cover letter, resume and credentials in a coherent PDF or Word document . To all recruitment agencies: Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Staffing Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.
26/08/2019
Full time
Overview
Bio-Rad is an innovative company and thanks to its laboratory diagnostic systems world leader in the field of blood group serology. Our company is involved in the supply of high-quality products and services intended for diagnostic laboratories. Independence, innovation and commitment are the fundamental values that permeate our company culture, as well as a strong orientation towards our customers and a multicultural environment. Bio-Rad in Cressier/Switzerland is looking for a Data An alys t for Global Manufacturing . This position is responsible for partnering with Global Manufacturing (EMEA and LATAM consumables sites) to identify opportunities for improvement in operations and processes.The role can be based in: Switzerland (Cressier or Basel) or France (Steenvoorde)
Responsibilities
Partners with team members in Global Manufacturing and functions to support new and ongoing business reporting, analytical and training needs.
Analyze existing data records, summarize quality and recommend solutions for compliance, cost saving and standardization opportunities
Collaborate with internal operational business partners and stakeholders to define opportunities for improving operations.
Define, develop and implement score card metrics and measurement tools.
Develop reports that analyze spending, opportunities for standardization opportunities.
Partner with senior analysts on initiatives to create new reports, metrics and dashboards based on business need.
Develop presentations and effectively communicate results to business partners.
Qualifications
Bachelor’s degree or equivalent in Business Administration, Information Systems, or manufacturing related discipline.
3+ years’ experience managing databases, providing timely user support, and writing reports, or equivalent combination of education and experience.
Advanced knowledge of the global manufacturing operations
Advanced quantitative skills with proficiency in data analysis (SAP) modeling (MS Excel), and presenting (MS PowerPoint).
Strong knowledge of data visualization tools such as PowerBI.
Strong interpersonal, organizational, analytical, problem solving, and time management skills.
Ability to take complex information and convey it to various levels of the organization in a clear and concise manner.
Ability to create and deliver presentations to technical and non-technical audiences.
Do you see your next professional challenge in this position? We look forward to receiving your application. If you click on "Apply", you have the option of submitting your complete cover letter, resume and credentials in a coherent PDF or Word document . To all recruitment agencies: Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Staffing Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.
Your new company Frontify is a growth oriented company based in St. Gallen (Switzerland) with around 100 people currently on board. We create all-in-one brand management software, for businesses large and small. We'd love you to join us on our dynamic, creative adventure! We're open-minded and motivated about making a positive impact for our customers. Frontify is built on a collaborative culture of experimentation, trust, and transparency. We believe in being happy and fulfilled at work, and letting our personalities shine through everything we do. Your new role Together with a newly built Data team containing three team members, you'll be part of the hypotheses building, testing, and analyzing process that help our business teams as sales, marketing & customer success to understand our customers better. Working closely with your team you will analyze data, experiments, and generate insights about our users. You'll also gather our KPIs in dashboards and reports and make sure everyone knows about them. You know everything about our funnel. Finally you identify, analyze, and interpret trends or patterns and make sure that our database is reliable. This job is for you, if
analytics is what you love and you know how valid data is, utilizing your statistical knowledge
you are able to report and visualize data in an easily digestible format for the whole team, as not everybody understands data like you
you bring quantitative and qualitative data together to really know what drives our users
consult business teams in defining data analysis processes and evaluate data to improve business
SQL, Tableau are familiar for you
you are critical and question data to make sure we make the right decisions
you showcase the current status, but you also know how to predict future patterns
curiosity and a willingness to learn are a part of who you are
you're friendly and approachable, and comfortable being authentic and honest
you don’t need someone to tell you what to do (you’re able to prioritize your work independently).
If you identify yourself with this role and you have a few years experience as Data Analyst in a growing business and you like to be a sparring partner, then we are very much looking forward to you application.Ideally, you have a bachelor’s degree in statistics, computer science, engineering, any technical major, or related work experience and you bring in an experimental mindset.
Goodies
Frontify is a very dynamic company where things change quickly and opportunities arise often, providing a lot of space for career and personal development. We're big on flexibility, and providing our Frontify family with time for side projects. Our office is pretty great, but more important is our culture of freedom, trust, learning, advancement, and happiness.
Next steps
Send us your CV and cover letter.
We'll invite you to an initial screening call within a week.
The next step would be getting to know each other better over coffee.
If things go well, we'll invite you to join us for half a day in our office in St. Gallen. You can experience our culture, and we can learn more about you in person.
You'll receive an offer to become part of the Frontify family.
26/08/2019
Full time
Your new company Frontify is a growth oriented company based in St. Gallen (Switzerland) with around 100 people currently on board. We create all-in-one brand management software, for businesses large and small. We'd love you to join us on our dynamic, creative adventure! We're open-minded and motivated about making a positive impact for our customers. Frontify is built on a collaborative culture of experimentation, trust, and transparency. We believe in being happy and fulfilled at work, and letting our personalities shine through everything we do. Your new role Together with a newly built Data team containing three team members, you'll be part of the hypotheses building, testing, and analyzing process that help our business teams as sales, marketing & customer success to understand our customers better. Working closely with your team you will analyze data, experiments, and generate insights about our users. You'll also gather our KPIs in dashboards and reports and make sure everyone knows about them. You know everything about our funnel. Finally you identify, analyze, and interpret trends or patterns and make sure that our database is reliable. This job is for you, if
analytics is what you love and you know how valid data is, utilizing your statistical knowledge
you are able to report and visualize data in an easily digestible format for the whole team, as not everybody understands data like you
you bring quantitative and qualitative data together to really know what drives our users
consult business teams in defining data analysis processes and evaluate data to improve business
SQL, Tableau are familiar for you
you are critical and question data to make sure we make the right decisions
you showcase the current status, but you also know how to predict future patterns
curiosity and a willingness to learn are a part of who you are
you're friendly and approachable, and comfortable being authentic and honest
you don’t need someone to tell you what to do (you’re able to prioritize your work independently).
If you identify yourself with this role and you have a few years experience as Data Analyst in a growing business and you like to be a sparring partner, then we are very much looking forward to you application.Ideally, you have a bachelor’s degree in statistics, computer science, engineering, any technical major, or related work experience and you bring in an experimental mindset.
Goodies
Frontify is a very dynamic company where things change quickly and opportunities arise often, providing a lot of space for career and personal development. We're big on flexibility, and providing our Frontify family with time for side projects. Our office is pretty great, but more important is our culture of freedom, trust, learning, advancement, and happiness.
Next steps
Send us your CV and cover letter.
We'll invite you to an initial screening call within a week.
The next step would be getting to know each other better over coffee.
If things go well, we'll invite you to join us for half a day in our office in St. Gallen. You can experience our culture, and we can learn more about you in person.
You'll receive an offer to become part of the Frontify family.
We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of Python and/or R
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: Oct/Nov 2019 or upon agreement
Duration: 6 months or upon agreement
22/08/2019
Internship
We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of Python and/or R
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: Oct/Nov 2019 or upon agreement
Duration: 6 months or upon agreement
In your role as a Consultys Compliance Expert, you are supporting our local clients and team by: Roles and responsibilities:
Conception, planning and performing of Computer Systems Validation (CSV) in the regulated environment (Pharma, Medical Devices, Biotech)
Advisory and support of application owners to build and maintain GxP conform systems
Support and consulting during projects handling GxP critical computer systems
Implementation of qualification / validation activities within projects of new and existing computer systems according to our client requirements
Conception and implementation of Raw-Data-Handling systems and solutions (Data Integrity)
Computer systems according to internal Software Development Lifecycle
Performing internal and external CSV trainings
Qualifications:
University degree in Informatics, Quality, Engineering or another relevant discipline - At least 2-3 years of experience in validation of GxP relevant IT systems such as ERP, MES, LIMS or Quality Systems - Working knowledge of national and international regulations and standards, eg. GAMP5, ISO 9001, ISO 13485, ISO 62304, FDA QSR, 21 CFR Part 820, Part 11 - Analytical and structuGREAT working style; strong attention to detail - Ability to effectively work as part of a multidisciplinary, international team
Hands-on personality, with flexibility and dedication to maximize our client's value - Good verbal and written communication skills in English, German language is a plus
You can differentiate Consultys from the pack. Whether you are a graduate or an experienced professional, if you feel you would thrive in our environment, we would be pleased to hear from you.
20/09/2019
Full time
In your role as a Consultys Compliance Expert, you are supporting our local clients and team by: Roles and responsibilities:
Conception, planning and performing of Computer Systems Validation (CSV) in the regulated environment (Pharma, Medical Devices, Biotech)
Advisory and support of application owners to build and maintain GxP conform systems
Support and consulting during projects handling GxP critical computer systems
Implementation of qualification / validation activities within projects of new and existing computer systems according to our client requirements
Conception and implementation of Raw-Data-Handling systems and solutions (Data Integrity)
Computer systems according to internal Software Development Lifecycle
Performing internal and external CSV trainings
Qualifications:
University degree in Informatics, Quality, Engineering or another relevant discipline - At least 2-3 years of experience in validation of GxP relevant IT systems such as ERP, MES, LIMS or Quality Systems - Working knowledge of national and international regulations and standards, eg. GAMP5, ISO 9001, ISO 13485, ISO 62304, FDA QSR, 21 CFR Part 820, Part 11 - Analytical and structuGREAT working style; strong attention to detail - Ability to effectively work as part of a multidisciplinary, international team
Hands-on personality, with flexibility and dedication to maximize our client's value - Good verbal and written communication skills in English, German language is a plus
You can differentiate Consultys from the pack. Whether you are a graduate or an experienced professional, if you feel you would thrive in our environment, we would be pleased to hear from you.
In your role as a Consultys Compliance Expert, you are supporting our local clients and team by: Roles and responsibilities:
Conception, planning and performing of Computer Systems Validation (CSV) in the regulated environment (Pharma, Medical Devices, Biotech)
Advisory and support of application owners to build and maintain GxP conform systems
Support and consulting during projects handling GxP critical computer systems
Implementation of qualification / validation activities within projects of new and exist- ing computer systems according to our client requirements
Conception and implementation of Raw-Data-Handling systems and solutions (Data Integrity)
Computer systems according to internal Software Development Lifecycle
Performing internal and external CSV trainings
Qualifications:
University degree in Informatics, Quality, Engineering or another relevant discipline - At least 2-3 years of experience in validation of GxP relevant IT systems such as ERP, MES, LIMS or Quality Systems - Working knowledge of national and international regulations and standards, eg. GAMP5, ISO 9001, ISO 13485, ISO 62304, FDA QSR, 21 CFR Part 820, Part 11 - Analytical and structuGREAT working style; strong attention to detail - Ability to effectively work as part of a multidisciplinary, international team
Hands-on personality, with flexibility and dedication to maximize our client's value - Good verbal and written communication skills in English, German language is a plus
You can differentiate Consultys from the pack. Whether you are a graduate or an experienced professional, if you feel you would thrive in our environment, we would be pleased to hear from you.
20/09/2019
Full time
In your role as a Consultys Compliance Expert, you are supporting our local clients and team by: Roles and responsibilities:
Conception, planning and performing of Computer Systems Validation (CSV) in the regulated environment (Pharma, Medical Devices, Biotech)
Advisory and support of application owners to build and maintain GxP conform systems
Support and consulting during projects handling GxP critical computer systems
Implementation of qualification / validation activities within projects of new and exist- ing computer systems according to our client requirements
Conception and implementation of Raw-Data-Handling systems and solutions (Data Integrity)
Computer systems according to internal Software Development Lifecycle
Performing internal and external CSV trainings
Qualifications:
University degree in Informatics, Quality, Engineering or another relevant discipline - At least 2-3 years of experience in validation of GxP relevant IT systems such as ERP, MES, LIMS or Quality Systems - Working knowledge of national and international regulations and standards, eg. GAMP5, ISO 9001, ISO 13485, ISO 62304, FDA QSR, 21 CFR Part 820, Part 11 - Analytical and structuGREAT working style; strong attention to detail - Ability to effectively work as part of a multidisciplinary, international team
Hands-on personality, with flexibility and dedication to maximize our client's value - Good verbal and written communication skills in English, German language is a plus
You can differentiate Consultys from the pack. Whether you are a graduate or an experienced professional, if you feel you would thrive in our environment, we would be pleased to hear from you.
The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Data Science Engineer (W/M)
Your mission : EPFL and ETH Zurich are seeking enthusiastic and experienced candidates with scientific IT expertise and a proven track record in and around data science and analytics on large-scale distributed platforms, services and applications, to staff up their national R&D Swiss Data Science Center. The ideal candidate will be part of the Swiss Data Science Center and will act as an enabler of data science activities within the research community from the ETH domains, Swiss universities, and the industry. In this role, you will liaise with data providers, data scientists, domain scientists, and industry partners to understand their goals, gather requirements, implement the solutions and ensure the knowledge transfer between the stakeholders. Specifically, you will
Liaise with data providers, data scientists, domain scientists, and industry partners to gather requirements.
Design, develop and set up novel (big) data science solutions into industrial and academic environments, using state of the art data science frameworks
Prepare tutorials, presentations, blogs, publications, about data science technologies.
Provide trainings and promote the technology and services offered by the SDSC.
You :
Have a bachelor’s degree (MSc or higher preferred) in computer science or a related discipline (e.g., bioinformatics, physics, or electrical engineering)
A proven track record of crafting innovative and elegant software solutions, and a good command of the Python programming language. Familiarity with another programming language, especially R, is a plus.
Have previous experience applying machine learning, and (big) data analytics frameworks such as TensorFlow, Scikit-learn, and the Apache Hadoop ecosystem, to real world problems.
Are familiar with software development best practices, such as agile software development and CI/CD, and tools like git as well.
Are well versed in the Linux operating system. Experience with cloud technology, and containers like Docker or Kubernetes, are highly desirable.
Are able to work well in a cross-functional environment and excel in communicating with your peers.
Should be prepared to explore and learn novel technologies and put them to practice in uncharted territories
Excellent command of the English language, both verbal and written, is a requirement. Good working knowledge of French or German, would be a plus.
We offer :
A stimulating, startup-like, cross-disciplinary environment in a national center part of 2 leading universities
Opportunities for turning research into impactful solutions
Excellent ties to research groups worldwide, both academic and industrial
Access to state-of-the-art infrastructure and resources
About us The Swiss Data Science Center (SDSC, datascience.ch) is a national center between EPFL and ETH Zurich, whose mission is to accelerate the use of data science and machine learning techniques broadly within academic disciplines of the ETH Domain and the Swiss academic community at large. It aims to federate data providers, data and computer scientists, and subject-matter experts around a cutting-edge analytics platform offering domain-specific “Insights-as-a-Service” while addressing security and privacy issues inherent to the field of data science. The SDSC is composed of a large multi-disciplinary team of data & computer scientists and experts in relevant domains, distributed between our offices in Lausanne and Zurich. The unique synergy that the center enables among the institutions of the ETH Domain and between academic and industrial stakeholders in both data science and across carefully selected domains is expected to foster scientific breakthroughs with significant societal impact. Applications via email or postal services will not be considered.
Start date : As soon as possible
Term of employment : Fixed-term (CDD)
Work rate : 100%
Duration : CDD 1 year renewable
Remark : Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.
20/09/2019
Full time
The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Data Science Engineer (W/M)
Your mission : EPFL and ETH Zurich are seeking enthusiastic and experienced candidates with scientific IT expertise and a proven track record in and around data science and analytics on large-scale distributed platforms, services and applications, to staff up their national R&D Swiss Data Science Center. The ideal candidate will be part of the Swiss Data Science Center and will act as an enabler of data science activities within the research community from the ETH domains, Swiss universities, and the industry. In this role, you will liaise with data providers, data scientists, domain scientists, and industry partners to understand their goals, gather requirements, implement the solutions and ensure the knowledge transfer between the stakeholders. Specifically, you will
Liaise with data providers, data scientists, domain scientists, and industry partners to gather requirements.
Design, develop and set up novel (big) data science solutions into industrial and academic environments, using state of the art data science frameworks
Prepare tutorials, presentations, blogs, publications, about data science technologies.
Provide trainings and promote the technology and services offered by the SDSC.
You :
Have a bachelor’s degree (MSc or higher preferred) in computer science or a related discipline (e.g., bioinformatics, physics, or electrical engineering)
A proven track record of crafting innovative and elegant software solutions, and a good command of the Python programming language. Familiarity with another programming language, especially R, is a plus.
Have previous experience applying machine learning, and (big) data analytics frameworks such as TensorFlow, Scikit-learn, and the Apache Hadoop ecosystem, to real world problems.
Are familiar with software development best practices, such as agile software development and CI/CD, and tools like git as well.
Are well versed in the Linux operating system. Experience with cloud technology, and containers like Docker or Kubernetes, are highly desirable.
Are able to work well in a cross-functional environment and excel in communicating with your peers.
Should be prepared to explore and learn novel technologies and put them to practice in uncharted territories
Excellent command of the English language, both verbal and written, is a requirement. Good working knowledge of French or German, would be a plus.
We offer :
A stimulating, startup-like, cross-disciplinary environment in a national center part of 2 leading universities
Opportunities for turning research into impactful solutions
Excellent ties to research groups worldwide, both academic and industrial
Access to state-of-the-art infrastructure and resources
About us The Swiss Data Science Center (SDSC, datascience.ch) is a national center between EPFL and ETH Zurich, whose mission is to accelerate the use of data science and machine learning techniques broadly within academic disciplines of the ETH Domain and the Swiss academic community at large. It aims to federate data providers, data and computer scientists, and subject-matter experts around a cutting-edge analytics platform offering domain-specific “Insights-as-a-Service” while addressing security and privacy issues inherent to the field of data science. The SDSC is composed of a large multi-disciplinary team of data & computer scientists and experts in relevant domains, distributed between our offices in Lausanne and Zurich. The unique synergy that the center enables among the institutions of the ETH Domain and between academic and industrial stakeholders in both data science and across carefully selected domains is expected to foster scientific breakthroughs with significant societal impact. Applications via email or postal services will not be considered.
Start date : As soon as possible
Term of employment : Fixed-term (CDD)
Work rate : 100%
Duration : CDD 1 year renewable
Remark : Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.
The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Postdoctoral Researcher – Physical Limnology – Numerical Modelling and Data Analysis
Your mission : This position is to support the group’s core research in physical lake processes. Amongst others, your mission will include the investigation of winter cooling, river inflow, and air-water exchanges with the other team members. In all these areas, the group carries out field investigations and numerical modelling of lake hydrodynamics.
Main duties and responsibilities include :
Engage as a principal researcher on a limnological project that addresses hydrodynamic modelling and physical interpretation of model results.
Participate in teaching responsibilities of the laboratory, for both students and doctoral candidates.
Your profile :
Experience in hydrodynamic modelling and physical interpretation of results
Academic training in geophysical fluid mechanics
Applicants are expected to have recently finished, or be about to finish their Ph.D. degrees
Refereed journal articles in the area of hydrodynamics
High level competencies in data analysis
We offer : Located in a beautiful setting near the city of Lausanne on the shores of Lake Geneva, EPFL is one of Europe’s most famous science and technology institutions. It welcomes students, professors and collaborators of more than 120 nationalities. EPFL has both a Swiss and international vocation and focuses on three missions: teaching, research and innovation. It offers salaries which are internationally competitive.
Start date : As soon as possible
Term of employment : Fixed-term (CDD)
Work rate : 100%
Duration : One year (renewable up to 2 yrs)
Contact : Please send your application (cover letter with a statement of motivation, curriculum vitae, list of publications, transcripts from all years of university study, and the names and addresses of at least three academic referees) by email to: andrew.barry@epfl.ch
20/09/2019
Full time
The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Postdoctoral Researcher – Physical Limnology – Numerical Modelling and Data Analysis
Your mission : This position is to support the group’s core research in physical lake processes. Amongst others, your mission will include the investigation of winter cooling, river inflow, and air-water exchanges with the other team members. In all these areas, the group carries out field investigations and numerical modelling of lake hydrodynamics.
Main duties and responsibilities include :
Engage as a principal researcher on a limnological project that addresses hydrodynamic modelling and physical interpretation of model results.
Participate in teaching responsibilities of the laboratory, for both students and doctoral candidates.
Your profile :
Experience in hydrodynamic modelling and physical interpretation of results
Academic training in geophysical fluid mechanics
Applicants are expected to have recently finished, or be about to finish their Ph.D. degrees
Refereed journal articles in the area of hydrodynamics
High level competencies in data analysis
We offer : Located in a beautiful setting near the city of Lausanne on the shores of Lake Geneva, EPFL is one of Europe’s most famous science and technology institutions. It welcomes students, professors and collaborators of more than 120 nationalities. EPFL has both a Swiss and international vocation and focuses on three missions: teaching, research and innovation. It offers salaries which are internationally competitive.
Start date : As soon as possible
Term of employment : Fixed-term (CDD)
Work rate : 100%
Duration : One year (renewable up to 2 yrs)
Contact : Please send your application (cover letter with a statement of motivation, curriculum vitae, list of publications, transcripts from all years of university study, and the names and addresses of at least three academic referees) by email to: andrew.barry@epfl.ch
Reports to (role)
Head of Protection Data unit
What we do
The International Committee of the Red Cross (ICRC) works worldwide to provide humanitarian assistance to people affected by conflict and armed violence. We take action in response to emergencies and at the same time promote respect for international humanitarian law. We are an independent and neutral organization, and our mandate stems essentially from the Geneva Conventions of 1949. We work closely with National Red Cross and Red Crescent Societies and with their International Federation in order to ensure a concerted, rational and rapid humanitarian response to the needs of the victims of armed conflict or any other situation of internal violence. We direct and coordinate the international activities conducted in these situations.
Purpose
The Protection Data Unit has two main objectives: to reinforce the management of the data related to protection activities of the ICRC, and improve the use of information and communication technologies (ICT) with special focus on data protection. The associate’s main tasks will be to support the Unit’s activities by:1) Support the Evidence Based Protection team with quantitative and qualitative analysis2) Supporting the Unit with the development and management of a resource centre and3) Supporting the conceptualization, implementation, promotion, and management of a data collection tool.Accountabilities & Functional responsibilities
1. Support the Evidence-Based Protection team with qualitative and quantitative analysis (50%)
Contribute to the reflection, development and implementation of qualitative and quantitative methodologies and analysis tasks to optimize evidence-based understanding of PROT priority topics. Perform ad-hoc researches and data extraction requests
Support the team by doing data cleaning, data transformation, and creation or development of data visualizations (dashboards).
Maintain/manage online collaborative community content
Contribute to the internal communication of the PROT/DATA unit
2. Continued development and maintenance of the Protection Data Resource Centre (Wiki) (25% )
Act as project lead of the Protection Data Resource Centre.
Continue to ensure the production, editing, and adaptation of new Wiki pages, to best present institutional data-related resources. This includes both technical oversight (e.g. metadata, search function) and close collaboration with relevant technical advisers.
Devise and implement procedures for and a plan of action to promote collaboration in production of Wiki pages that ensures quality, accuracy and continued relevance over time.
Develop and adapt the technical structure of the Wiki as necessary, in particular to ensure ongoing/improved access to or integration of resources outside the unit (e.g. links to other Wikis, search functionality). This includes collaboration with colleagues in other units/divisions with Wikis.
3. Act as focal point of Device Magic (mobile data collection tool) for Protection (20%)
Provide methodological support to delegations with the design of data collection exercises.
Provide support to delegations with the use of Device Magic.
Review and revise material regarding Device Magic as needed.
4. Other duties as required to support the Protection Data Unit (5%)
Helps with the planning of events.
Provides support with projects when needed.
Takes responsibility for their own development and learning.
Certifications / Education required University degree or diploma equivalent to a master’s degree in social sciences, data analytics, interactive media, ICT, engineering, economics, information sciences or equivalent experience.
Professional Experience required Professional Experience required:
Only individuals enrolled in higher education or who have recently completed their studies are eligible to be trainees/associates. For candidates to be eligible, they must have a maximum of one year’s professional experience after graduation (relation to the post) or two years if they have been in previous traineeships.
Assets:
Research experience in innovation projects with a high technology component
Experience with automated collection and storage of data retrieved through web APIs
Experience using tools such as SQL, Python, R, Tableau, PowerBI, Excel
Experience with humanitarian organizations or NGO's.
Desired profile and skills
Strongly motivated by humanitarian work
What we offer
Rewarding work in a humanitarian and multicultural environment
Length of assignment: 12 months
Additional information
Type of role: Trainee
Working rate: 100%
Starting date: 02.12.2019
Location: Geneva, Switzerland
Length of assignment: 12months
Application deadline: 06.10.2019
Application documents required: diplomas, work certificates, scan color of passport
Relocation: not provided for traineeships
Visa/Permit: Legitimacy Card provided
Language
English
French
Spanish or other languages would be assests
20/09/2019
Full time
Reports to (role)
Head of Protection Data unit
What we do
The International Committee of the Red Cross (ICRC) works worldwide to provide humanitarian assistance to people affected by conflict and armed violence. We take action in response to emergencies and at the same time promote respect for international humanitarian law. We are an independent and neutral organization, and our mandate stems essentially from the Geneva Conventions of 1949. We work closely with National Red Cross and Red Crescent Societies and with their International Federation in order to ensure a concerted, rational and rapid humanitarian response to the needs of the victims of armed conflict or any other situation of internal violence. We direct and coordinate the international activities conducted in these situations.
Purpose
The Protection Data Unit has two main objectives: to reinforce the management of the data related to protection activities of the ICRC, and improve the use of information and communication technologies (ICT) with special focus on data protection. The associate’s main tasks will be to support the Unit’s activities by:1) Support the Evidence Based Protection team with quantitative and qualitative analysis2) Supporting the Unit with the development and management of a resource centre and3) Supporting the conceptualization, implementation, promotion, and management of a data collection tool.Accountabilities & Functional responsibilities
1. Support the Evidence-Based Protection team with qualitative and quantitative analysis (50%)
Contribute to the reflection, development and implementation of qualitative and quantitative methodologies and analysis tasks to optimize evidence-based understanding of PROT priority topics. Perform ad-hoc researches and data extraction requests
Support the team by doing data cleaning, data transformation, and creation or development of data visualizations (dashboards).
Maintain/manage online collaborative community content
Contribute to the internal communication of the PROT/DATA unit
2. Continued development and maintenance of the Protection Data Resource Centre (Wiki) (25% )
Act as project lead of the Protection Data Resource Centre.
Continue to ensure the production, editing, and adaptation of new Wiki pages, to best present institutional data-related resources. This includes both technical oversight (e.g. metadata, search function) and close collaboration with relevant technical advisers.
Devise and implement procedures for and a plan of action to promote collaboration in production of Wiki pages that ensures quality, accuracy and continued relevance over time.
Develop and adapt the technical structure of the Wiki as necessary, in particular to ensure ongoing/improved access to or integration of resources outside the unit (e.g. links to other Wikis, search functionality). This includes collaboration with colleagues in other units/divisions with Wikis.
3. Act as focal point of Device Magic (mobile data collection tool) for Protection (20%)
Provide methodological support to delegations with the design of data collection exercises.
Provide support to delegations with the use of Device Magic.
Review and revise material regarding Device Magic as needed.
4. Other duties as required to support the Protection Data Unit (5%)
Helps with the planning of events.
Provides support with projects when needed.
Takes responsibility for their own development and learning.
Certifications / Education required University degree or diploma equivalent to a master’s degree in social sciences, data analytics, interactive media, ICT, engineering, economics, information sciences or equivalent experience.
Professional Experience required Professional Experience required:
Only individuals enrolled in higher education or who have recently completed their studies are eligible to be trainees/associates. For candidates to be eligible, they must have a maximum of one year’s professional experience after graduation (relation to the post) or two years if they have been in previous traineeships.
Assets:
Research experience in innovation projects with a high technology component
Experience with automated collection and storage of data retrieved through web APIs
Experience using tools such as SQL, Python, R, Tableau, PowerBI, Excel
Experience with humanitarian organizations or NGO's.
Desired profile and skills
Strongly motivated by humanitarian work
What we offer
Rewarding work in a humanitarian and multicultural environment
Length of assignment: 12 months
Additional information
Type of role: Trainee
Working rate: 100%
Starting date: 02.12.2019
Location: Geneva, Switzerland
Length of assignment: 12months
Application deadline: 06.10.2019
Application documents required: diplomas, work certificates, scan color of passport
Relocation: not provided for traineeships
Visa/Permit: Legitimacy Card provided
Language
English
French
Spanish or other languages would be assests
Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. Every year, Amgen is included on numerous best employers’ lists worldwide, as we understand that our success rests on attracting and retaining the best talent.
Would you like to discover your potential and make an impact?
We are currently seeking for a Senior Associate Commercial Analysis (temporary Amgen contract) to join the Sales & Marketing Effectiveness Team in our Swiss Affiliate.
The main purpose of the job is to provide – in partnership with the commercial teams of Amgen Switzerland - insightful market information/analysis which translate into meaningful sales forecasts. In particular, the successful candidate will become the primary partner for our internal clients in regards to providing actionable market information respectively recommendations based on primary and secondary data sources. The job holder will be based in Rotkreuz, Switzerland.
MAIN TASKS & RESPONSIBILITIES:
Prepare and interpret sales and market analysis, enabling the organization to have overview of the local market insights from national, regional to brick level
Facilitate the Market Research process and ensure compliance with the guidelines
Proactively drive strategic and innovative approaches to maximize the use of available primary and secondary data sources and transform data into actionable information and recommendations
Manage and assist in the development and improvement of the Amgen Switzerland Business Analytics Platform
Manage the Competitive Intelligence (CI) process and participate in the European CI network
Manage the monthly sales review & planning process and facilitate new brand forecasts in accordance with the company processes and models
Proactively seek to build Amgen’s capability in Business Analytics and CI
Manage the review process of the Pricing Guidance & Policy
Provide ad-hoc Analysis & Forecasts on request
Backup of Sales Operations Role
REQUIRED SKILLS & QUALIFICATIONS:
Bachelor or Masters degree in economics or equivalent qualification
You possess strong analysis and numeric skills
You are a solid communicatior with strong presentation skills
Excellent interpersonal skills
You have a natural ability to form strong relationships with and influence senior stakeholders
Expertise in analytical systems, e.g. Excel, VBA
Professional level in English; German is an asset
Are you keen on contributing to improve patients' lives? Does this sound like the perfect next step in your career?
If you answer both questions with yes, please submit your application online.
We understand that to successfully sustain and grow as a global enterprise and deliver for patients — we must ensure a diverse and inclusive work environment. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Join Us
If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.
Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.
20/09/2019
Full time
Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. Every year, Amgen is included on numerous best employers’ lists worldwide, as we understand that our success rests on attracting and retaining the best talent.
Would you like to discover your potential and make an impact?
We are currently seeking for a Senior Associate Commercial Analysis (temporary Amgen contract) to join the Sales & Marketing Effectiveness Team in our Swiss Affiliate.
The main purpose of the job is to provide – in partnership with the commercial teams of Amgen Switzerland - insightful market information/analysis which translate into meaningful sales forecasts. In particular, the successful candidate will become the primary partner for our internal clients in regards to providing actionable market information respectively recommendations based on primary and secondary data sources. The job holder will be based in Rotkreuz, Switzerland.
MAIN TASKS & RESPONSIBILITIES:
Prepare and interpret sales and market analysis, enabling the organization to have overview of the local market insights from national, regional to brick level
Facilitate the Market Research process and ensure compliance with the guidelines
Proactively drive strategic and innovative approaches to maximize the use of available primary and secondary data sources and transform data into actionable information and recommendations
Manage and assist in the development and improvement of the Amgen Switzerland Business Analytics Platform
Manage the Competitive Intelligence (CI) process and participate in the European CI network
Manage the monthly sales review & planning process and facilitate new brand forecasts in accordance with the company processes and models
Proactively seek to build Amgen’s capability in Business Analytics and CI
Manage the review process of the Pricing Guidance & Policy
Provide ad-hoc Analysis & Forecasts on request
Backup of Sales Operations Role
REQUIRED SKILLS & QUALIFICATIONS:
Bachelor or Masters degree in economics or equivalent qualification
You possess strong analysis and numeric skills
You are a solid communicatior with strong presentation skills
Excellent interpersonal skills
You have a natural ability to form strong relationships with and influence senior stakeholders
Expertise in analytical systems, e.g. Excel, VBA
Professional level in English; German is an asset
Are you keen on contributing to improve patients' lives? Does this sound like the perfect next step in your career?
If you answer both questions with yes, please submit your application online.
We understand that to successfully sustain and grow as a global enterprise and deliver for patients — we must ensure a diverse and inclusive work environment. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Join Us
If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.
Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.
6500! That’s the number of associates in the Novartis Institutes for BioMedical Research (NIBR). This division is the innovation engine of Novartis, focusing on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients. The Neuroscience (NS) Department at Novartis Institutes for Biomedical Research (NIBR) in Basel, Switzerland, is seeking a Scientific Associate or Scientist with Molecular and Cell Biology skills to join a lab focusing on neuroscience. The specific focus of the team is to modulate neuroinflammation to ameliorate or halt pathology in neurodegenerative diseases. As part of a multidisciplinary, highly collaborative team, you will independently plan, execute and analyze experiments and interpret data aiming at the discovery and characterization of new therapeutic targets and drug leads. The group is using complex primary cell culture models, but also establishing cellular high and medium throughput assays to assess therapeutic efficacy of antisense oligonucleotides, antibodies or low molecular weight compound under relevant physiological conditions. On top of a solid neurobiological background, good knowledge of and experience with immunological methods (FACS, cytokine assays, ELISA, histology) would be an asset. You will present data in meetings within the department and to contribute to writing of research documents and publications. Furthermore, you will interact with multiple groups within our department as well as with other groups and external colleagues and have the opportunity to represent the lab in project team meetings.
Minimum requirements
Master’s degree in Neurobiology / Immunology or another relevant Life Science discipline
Several years of post-graduate experience in industry or academia in drug discovery or related laboratory research
Proficiency in Molecular and Cell Biology techniques, comprising but not restricted to cultivation and manipulation of cell lines and primary mouse and human cell cultures, biochemical assays (e.g. cytokine assays, second messenger assays) and high content cellular imaging technologies
Hands on experience in immunological methods e.g. flow cytometry, ELISA, immune cell isolation, antibody characterization
In vivo license and working experience is beneficial
Proven experience with complex cellular models, in particular with primary human myogenic cells, and confocal microscopy is advantageous
Highly motivated team player with refined collaboration skills
Excellent communication and interpersonal skills
Fluency in English (oral/written)
WHY CONSIDER NOVARTIS? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help us reimagine medicine.
Division
NIBR
Business Unit
NEUROSCIENCE
Country
Switzerland
Work Location
Basel
Company/Legal Entity
Novartis Pharma AG
Functional Area
Research & Development
Job Type
Full Time
Employment Type
Regular
20/09/2019
Full time
6500! That’s the number of associates in the Novartis Institutes for BioMedical Research (NIBR). This division is the innovation engine of Novartis, focusing on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients. The Neuroscience (NS) Department at Novartis Institutes for Biomedical Research (NIBR) in Basel, Switzerland, is seeking a Scientific Associate or Scientist with Molecular and Cell Biology skills to join a lab focusing on neuroscience. The specific focus of the team is to modulate neuroinflammation to ameliorate or halt pathology in neurodegenerative diseases. As part of a multidisciplinary, highly collaborative team, you will independently plan, execute and analyze experiments and interpret data aiming at the discovery and characterization of new therapeutic targets and drug leads. The group is using complex primary cell culture models, but also establishing cellular high and medium throughput assays to assess therapeutic efficacy of antisense oligonucleotides, antibodies or low molecular weight compound under relevant physiological conditions. On top of a solid neurobiological background, good knowledge of and experience with immunological methods (FACS, cytokine assays, ELISA, histology) would be an asset. You will present data in meetings within the department and to contribute to writing of research documents and publications. Furthermore, you will interact with multiple groups within our department as well as with other groups and external colleagues and have the opportunity to represent the lab in project team meetings.
Minimum requirements
Master’s degree in Neurobiology / Immunology or another relevant Life Science discipline
Several years of post-graduate experience in industry or academia in drug discovery or related laboratory research
Proficiency in Molecular and Cell Biology techniques, comprising but not restricted to cultivation and manipulation of cell lines and primary mouse and human cell cultures, biochemical assays (e.g. cytokine assays, second messenger assays) and high content cellular imaging technologies
Hands on experience in immunological methods e.g. flow cytometry, ELISA, immune cell isolation, antibody characterization
In vivo license and working experience is beneficial
Proven experience with complex cellular models, in particular with primary human myogenic cells, and confocal microscopy is advantageous
Highly motivated team player with refined collaboration skills
Excellent communication and interpersonal skills
Fluency in English (oral/written)
WHY CONSIDER NOVARTIS? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help us reimagine medicine.
Division
NIBR
Business Unit
NEUROSCIENCE
Country
Switzerland
Work Location
Basel
Company/Legal Entity
Novartis Pharma AG
Functional Area
Research & Development
Job Type
Full Time
Employment Type
Regular
Unsere Mitarbeiterinnen und Mitarbeiter setzen sich mit grosser Leidenschaft dafür ein, dass unsere Kundinnen und Kunden Einkaufen als besonderes Erlebnis erfahren. Wollen Sie auch in diesem Umfeld von menschlichen und fachlichen Spitzenleistungen mitwirken?
Für unseren Hauptsitz in Zürich-City suchen wir per sofort oder nach Vereinbarung einen
Data Scientist (m/w) 100%
Als "Data Scientist" arbeiten Sie im Bereich Reporting und Analytics als Teil des SCRUM Teams. Sie unterstützen das Team bei der Weiterentwicklung und dem Betrieb des Datenbereichs von "Globus".
Ihre Aufgaben
Initiierung und Durchführung von cross-funktionalen Data Analytics Projekten
Auswahl und Implementation von statistischen Modellen zum Scoren von Kunden, Forecasting für Nachfrage und die Optimierung im Produktmanagement
Kommunikation und Präsentation von Erkenntnissen und Arbeitsergebnissen
Betreuen von unterschiedlichen Daten um Business Probleme mit Hilfe der Applikation von statistischen Modellen zu lösen
Enge Zusammenarbeit mit Daten- und Business Analysten um analytische Fragestellungen beantworten zu können
Erfüllen von Betriebsaufgaben als Teil eines DevOps Team im Datenumfeld
Ihr Profil
Universitätsabschluss im Bereich Data Science, Computer Science, Statistik, Mathematik oder einem vergleichbaren Bereich
Mehr als 3 Jahre Berufserfahrung im Bereich Data Science
Erfahrung in der Auswahl und Einführung von statistischen Modellen in unterschiedlichen Data-Sets (mit z.B. Phyton, R, Spark oder ähnlichem)
Erfahrung in der Entwicklung von Software und verschiedenen relationalen Datenbankumfeldern
Gutes MS-SQL Know-how
Erfahrung im Retail sowie Kenntnisse im Umgang mit Google Bigquery / AWS sind ein Plus
Vorwissen mit Daten aus SAP BW, SAP Retail und Dynamics NAV sind von Vorteil
Unser Angebot
Sie leben jeden Tag Ihre Leidenschaft für eine fordernde und zugleich faszinierende Aufgabe - stets der hohen Qualität, dem einzigartigen Stil und der exklusiven Wertigkeit verpflichtet.
Sie sind Teil eines motivierten Teams, das mit Engagement und Stolz nach dem gemeinsamen Erfolg strebt.
Sie erleben Wertschätzung und Anerkennung durch Kunden, Kollegen und Vorgesetzte sowie profitieren von attraktiven Sozialleistungen und Fringe Benefits.
Haben wir Ihr Interesse geweckt? Dann freuen wir uns auf Ihre vollständige Online-Bewerbung mit Foto. Bitte bewerben Sie sich ausschliesslich online über den Bewerbungslink im jeweiligen Stelleninserat. Ihr Kontakt für diese Stelle: GLOBUS Franziska Roth, HR Manager & Leiterin Employer Branding www.globus.ch Globus ist Teil der Migros-Gruppe. Für weitere Stellenangebote besuchen Sie migros-gruppe.jobs
20/09/2019
Full time
Unsere Mitarbeiterinnen und Mitarbeiter setzen sich mit grosser Leidenschaft dafür ein, dass unsere Kundinnen und Kunden Einkaufen als besonderes Erlebnis erfahren. Wollen Sie auch in diesem Umfeld von menschlichen und fachlichen Spitzenleistungen mitwirken?
Für unseren Hauptsitz in Zürich-City suchen wir per sofort oder nach Vereinbarung einen
Data Scientist (m/w) 100%
Als "Data Scientist" arbeiten Sie im Bereich Reporting und Analytics als Teil des SCRUM Teams. Sie unterstützen das Team bei der Weiterentwicklung und dem Betrieb des Datenbereichs von "Globus".
Ihre Aufgaben
Initiierung und Durchführung von cross-funktionalen Data Analytics Projekten
Auswahl und Implementation von statistischen Modellen zum Scoren von Kunden, Forecasting für Nachfrage und die Optimierung im Produktmanagement
Kommunikation und Präsentation von Erkenntnissen und Arbeitsergebnissen
Betreuen von unterschiedlichen Daten um Business Probleme mit Hilfe der Applikation von statistischen Modellen zu lösen
Enge Zusammenarbeit mit Daten- und Business Analysten um analytische Fragestellungen beantworten zu können
Erfüllen von Betriebsaufgaben als Teil eines DevOps Team im Datenumfeld
Ihr Profil
Universitätsabschluss im Bereich Data Science, Computer Science, Statistik, Mathematik oder einem vergleichbaren Bereich
Mehr als 3 Jahre Berufserfahrung im Bereich Data Science
Erfahrung in der Auswahl und Einführung von statistischen Modellen in unterschiedlichen Data-Sets (mit z.B. Phyton, R, Spark oder ähnlichem)
Erfahrung in der Entwicklung von Software und verschiedenen relationalen Datenbankumfeldern
Gutes MS-SQL Know-how
Erfahrung im Retail sowie Kenntnisse im Umgang mit Google Bigquery / AWS sind ein Plus
Vorwissen mit Daten aus SAP BW, SAP Retail und Dynamics NAV sind von Vorteil
Unser Angebot
Sie leben jeden Tag Ihre Leidenschaft für eine fordernde und zugleich faszinierende Aufgabe - stets der hohen Qualität, dem einzigartigen Stil und der exklusiven Wertigkeit verpflichtet.
Sie sind Teil eines motivierten Teams, das mit Engagement und Stolz nach dem gemeinsamen Erfolg strebt.
Sie erleben Wertschätzung und Anerkennung durch Kunden, Kollegen und Vorgesetzte sowie profitieren von attraktiven Sozialleistungen und Fringe Benefits.
Haben wir Ihr Interesse geweckt? Dann freuen wir uns auf Ihre vollständige Online-Bewerbung mit Foto. Bitte bewerben Sie sich ausschliesslich online über den Bewerbungslink im jeweiligen Stelleninserat. Ihr Kontakt für diese Stelle: GLOBUS Franziska Roth, HR Manager & Leiterin Employer Branding www.globus.ch Globus ist Teil der Migros-Gruppe. Für weitere Stellenangebote besuchen Sie migros-gruppe.jobs
21st Century evolution and innovation in digital technologies, data and advanced analytics is rapidly changing the healthcare environment. We believe that Real World Evidence will transform healthcare decision-making as part of that revolution. As a RWE Data Scientist, you will work with meaningful data to gain impactful insights on our medicines and patients. The data will be varied in type - patient-level clinical data, supplemented with deep patient data like genomics, imaging, digital health, etc. Source data will be diverse - real-world data, including patient registries, electronic medical records, claims and biobanks. The RWE Data Scientist will be responsible for contributing to and executing the RWE strategy within Novartis Oncology. This role will partner with RWE Directors, Scientists and cross-functional stakeholders to translate real world data into evidence and insights. You will work collaboratively to build strong internal partnerships and act as subject matter expert by providing expert consultations on all aspects of RWD studies and analyses, including objectives, study design, data source identification, protocol development, statistical analysis, and/or interpretation. Furthermore, you will be responsible for implementing RWD-based analyses using programming and rapid-analytic tools. You will bring an innovative mindset and fresh perspective to the use of data and analytics in oncology and be a key contributor to improving analytic efficiencies and expanding the use of RWE across the organization. Your responsibilities will include: 1.Partner with RWE Directors, Scientists and x-functional stakeholders to develop a deep understanding of evidence needs and to conceptualize and implement RWD-based analyses and studies 2.Support the development of real world data and analytics capabilities and utilization, and lead in applying cutting-edge advanced analytics methodologies and tools to generate novel insights and actions 3.Conduct and oversee execution of RWD-based queries and studies; effectively communicate the findings and study results to internal stakeholders 4.Ensure high quality, rigorous and readily interpretable deliverables are generated from RWE studies/analyses 5.Build RWD-based self-service analytic tools that will enhance analytic efficiencies and will expand the use of RWD/RWE across the entire product life-cycle 6.Support the incorporation of RWE methods and perspectives into global development strategies 7.Continuously improve the data analytics platform, creating industry-leading performance through leveraging new and creative data sources and collaboration models with third party networks 8.Define standards and processes to manage quality, consistency, usability, security, and availability of data throughout the data lifecycle 9.Develop and address opportunities around novel sources or applications of data, and define how the business creates additional value through utilization of real world data and analytics, and drive cultural change towards data and analytics centricity 10.Improve literacy in the value and use of data and advanced analytics across the organization by leading successful implementation of data and analytics initiatives across regions and countries 11.Manage external data and analytic partners and collaborate closely with other analytic teams across Novartis 12.Define functional objectives as well as KPI and quality metrics, identify opportunities, gaps and priorities, and contribute to best practices standards. Stay abreast of emergent applications and positively drive development of RWD and analytic capabilities globally and locally
Minimum requirements
What you’ll bring to the role:
Advanced degree or equivalent education/degree in life science/healthcare required (e.g., biostatistics, epidemiology, bioinformatics, computer science, mathematics, data science)
Fluent English (oral and written)
7+ years relevant experience acquired at pharmaceutical companies, academia, healthcare provider / Payer / HTA, or relevant consultancy companies
Extensive experience with analytics, including statistical programming languages (SAS, R, Python); experience with rapid analytics platforms such as IHD and producing interactive outputs is a plus;
Experience with technologies to undertake analyses on large data sources or with computation-ally intensive steps (SQL, Hadoop, Spark)
Experience producing interactive outputs (Shiny etc)
Contributor to open source packages, libraries or functions
Experience implementing reproducible research practices like version control (e.g. using Git) and literate programming
Deep understanding and experience of Real World Data/Real World Evidence or related disciplines to generate scientifically rigorous and value evidence from secondary data sources
Awareness of changing analytics and technology trends within and outside the industry
WHY CONSIDER NOVARTIS? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help us reimagine medicine.
Some restrictions on flexible working options may apply and will be discussed during interview if applicable.
Division
Oncology
Business Unit
ONCOLOGY BU
Country
Switzerland
Work Location
Basel
Company/Legal Entity
Novartis Pharma AG
Functional Area
Market Access
Job Type
Full Time
Employment Type
Regular
20/09/2019
Full time
21st Century evolution and innovation in digital technologies, data and advanced analytics is rapidly changing the healthcare environment. We believe that Real World Evidence will transform healthcare decision-making as part of that revolution. As a RWE Data Scientist, you will work with meaningful data to gain impactful insights on our medicines and patients. The data will be varied in type - patient-level clinical data, supplemented with deep patient data like genomics, imaging, digital health, etc. Source data will be diverse - real-world data, including patient registries, electronic medical records, claims and biobanks. The RWE Data Scientist will be responsible for contributing to and executing the RWE strategy within Novartis Oncology. This role will partner with RWE Directors, Scientists and cross-functional stakeholders to translate real world data into evidence and insights. You will work collaboratively to build strong internal partnerships and act as subject matter expert by providing expert consultations on all aspects of RWD studies and analyses, including objectives, study design, data source identification, protocol development, statistical analysis, and/or interpretation. Furthermore, you will be responsible for implementing RWD-based analyses using programming and rapid-analytic tools. You will bring an innovative mindset and fresh perspective to the use of data and analytics in oncology and be a key contributor to improving analytic efficiencies and expanding the use of RWE across the organization. Your responsibilities will include: 1.Partner with RWE Directors, Scientists and x-functional stakeholders to develop a deep understanding of evidence needs and to conceptualize and implement RWD-based analyses and studies 2.Support the development of real world data and analytics capabilities and utilization, and lead in applying cutting-edge advanced analytics methodologies and tools to generate novel insights and actions 3.Conduct and oversee execution of RWD-based queries and studies; effectively communicate the findings and study results to internal stakeholders 4.Ensure high quality, rigorous and readily interpretable deliverables are generated from RWE studies/analyses 5.Build RWD-based self-service analytic tools that will enhance analytic efficiencies and will expand the use of RWD/RWE across the entire product life-cycle 6.Support the incorporation of RWE methods and perspectives into global development strategies 7.Continuously improve the data analytics platform, creating industry-leading performance through leveraging new and creative data sources and collaboration models with third party networks 8.Define standards and processes to manage quality, consistency, usability, security, and availability of data throughout the data lifecycle 9.Develop and address opportunities around novel sources or applications of data, and define how the business creates additional value through utilization of real world data and analytics, and drive cultural change towards data and analytics centricity 10.Improve literacy in the value and use of data and advanced analytics across the organization by leading successful implementation of data and analytics initiatives across regions and countries 11.Manage external data and analytic partners and collaborate closely with other analytic teams across Novartis 12.Define functional objectives as well as KPI and quality metrics, identify opportunities, gaps and priorities, and contribute to best practices standards. Stay abreast of emergent applications and positively drive development of RWD and analytic capabilities globally and locally
Minimum requirements
What you’ll bring to the role:
Advanced degree or equivalent education/degree in life science/healthcare required (e.g., biostatistics, epidemiology, bioinformatics, computer science, mathematics, data science)
Fluent English (oral and written)
7+ years relevant experience acquired at pharmaceutical companies, academia, healthcare provider / Payer / HTA, or relevant consultancy companies
Extensive experience with analytics, including statistical programming languages (SAS, R, Python); experience with rapid analytics platforms such as IHD and producing interactive outputs is a plus;
Experience with technologies to undertake analyses on large data sources or with computation-ally intensive steps (SQL, Hadoop, Spark)
Experience producing interactive outputs (Shiny etc)
Contributor to open source packages, libraries or functions
Experience implementing reproducible research practices like version control (e.g. using Git) and literate programming
Deep understanding and experience of Real World Data/Real World Evidence or related disciplines to generate scientifically rigorous and value evidence from secondary data sources
Awareness of changing analytics and technology trends within and outside the industry
WHY CONSIDER NOVARTIS? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help us reimagine medicine.
Some restrictions on flexible working options may apply and will be discussed during interview if applicable.
Division
Oncology
Business Unit
ONCOLOGY BU
Country
Switzerland
Work Location
Basel
Company/Legal Entity
Novartis Pharma AG
Functional Area
Market Access
Job Type
Full Time
Employment Type
Regular
Job description
Baloise Group encourages a culture of innovation, agility, and entrepreneurial spirit marked by a strong customer focus. In the digital age the customer expectation of an insurer is changing radically.
In response to these challenges Baloise decided to establish the Data Lab, a dedicated Data Science team. The Data Lab plays a key role in transforming Baloise into a data driven organization.
Initially, the team is focusing on the implementation of analytics use cases. In a second phase, topics such as information architecture, data quality and data governance will follow. A great opportunity to shape the Data Science capabilities from scratch!
For this role we are looking for an experienced Data Scientist with 3+ years in insurance.
Your responsibilities:
As a data scientist, you develop and implement predictive analytics and data science projects for the analysis and visualization of data for different problems.
You act as a business enabler and advise a range of departments on technology, methodology and operationalization.
What we expect
A university degree in a quantitative field (mathematics, statistics, computer science)
Multiple years of experience in building statistical models and products which have had measurable results, preferably in insurance
The ability to understand any analytical problem, create a statistical model and present conclusions from it
Strong analytical capabilities paired with good communication skills to encourage the adoption of analytical solutions throughout the organization
Experience in machine learning algorithms or deep learning (e.g. GLMs, Random Forests, Support Vector Machines, Neural Networks). And a sound methodological background
The ability to query data sets in a complex data landscape and the use of statistical tools and programming languages, in particular R, SQL, Python, and SAS BI tools
German language skills would be a plus
What we offer
The opportunity to make a creative contribution to a growing company in an extremely important strategic area
A culture of learning, sharing and progressing together
A respectful and collaborative working environment
Interested? Please upload your application documents directly on our online platform. Instead of a covering letter, simply answer the questions in the application process.
The Baloise is a modern company with many interesting people and stories.
20/09/2019
Full time
Job description
Baloise Group encourages a culture of innovation, agility, and entrepreneurial spirit marked by a strong customer focus. In the digital age the customer expectation of an insurer is changing radically.
In response to these challenges Baloise decided to establish the Data Lab, a dedicated Data Science team. The Data Lab plays a key role in transforming Baloise into a data driven organization.
Initially, the team is focusing on the implementation of analytics use cases. In a second phase, topics such as information architecture, data quality and data governance will follow. A great opportunity to shape the Data Science capabilities from scratch!
For this role we are looking for an experienced Data Scientist with 3+ years in insurance.
Your responsibilities:
As a data scientist, you develop and implement predictive analytics and data science projects for the analysis and visualization of data for different problems.
You act as a business enabler and advise a range of departments on technology, methodology and operationalization.
What we expect
A university degree in a quantitative field (mathematics, statistics, computer science)
Multiple years of experience in building statistical models and products which have had measurable results, preferably in insurance
The ability to understand any analytical problem, create a statistical model and present conclusions from it
Strong analytical capabilities paired with good communication skills to encourage the adoption of analytical solutions throughout the organization
Experience in machine learning algorithms or deep learning (e.g. GLMs, Random Forests, Support Vector Machines, Neural Networks). And a sound methodological background
The ability to query data sets in a complex data landscape and the use of statistical tools and programming languages, in particular R, SQL, Python, and SAS BI tools
German language skills would be a plus
What we offer
The opportunity to make a creative contribution to a growing company in an extremely important strategic area
A culture of learning, sharing and progressing together
A respectful and collaborative working environment
Interested? Please upload your application documents directly on our online platform. Instead of a covering letter, simply answer the questions in the application process.
The Baloise is a modern company with many interesting people and stories.
The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Data Scientist & Project Manager (W/M)
Your mission : The Digital Epidemiology Lab at EPFL, based at Campus Biotech in Geneva, is running a multi-year citizen science research project around food & nutrition called "Food & You" (www.foodandyou.ch). In this project, potentially thousands of citizens participate in a study to understand better the links between nutrition, the microbiome, and blood glucose levels. The study is entirely coordinated through a mobile app and a website, forming one of the first "digital cohorts" that are increasingly seen as an important future of medical research in the digital age. After a successful launch, we want to expand our team working on this ambitious project which requires careful planning and dedicated execution. We are in particular looking to analyze and visualize the increasing amounts of data we are collecting. This is why we are looking for someone who is responsible for the data analysis while also providing project management support (starting date to be defined, but preferably as soon as possible). Main duties and responsibilities include : You will be responsible for all aspects of data analysis, and co-ordinate with the team on the execution and management of the project. Your tasks will include (non-exhaustive list):
Data analysis and visualization (and other aspects of the data science pipeline)
Management of project website
Coordination with device- and service suppliers
Coordination with academic partners
Coordination with academic partners
Management of logistics
Communication with participants and the media
Your profile : The ideal candidate should have :
has strong analytical and problem-solving skills
has strong organizational skills as well as the ability to adapt quickly to changing priorities
can set and meet ambitious deadlines
speaks English and French fluently, and ideally even German (as we're opening the German language section of the website soon)
ideally has research experience in bio/medical sciences
has the ability to read the scientific literature in the field. Ideally, you have an advanced degree in the bio/medical field (PhD, Dr.med) but this is not a requirement. Excellent candidates with other degrees are also considered, provided they can navigate the scientific literature.
This is a pioneering project with many unknowns, and so the most important skill set of the ideal candidate is to be able to navigate and execute despite many uncertainties. It's a good sign if you have worked in dynamic environment (e.g. startup) before and enjoyed the experience. You are going to be responsible for the data science aspects of the project, and help with the execution of the project, which involves a lot of different tasks, from data analysis to planning the logistics all the way to packing and shipping hundreds of boxes with sensors. This is a job for a true all-rounder. While technical skills such as web development & mobile development are not required, they will nevertheless be considered very favorably.
We offer :
EPFL is one of the world's leading technical universities. It is part of the Swiss federal government and offers the corresponding benefits.
The Digital Epidemiology Lab is a dynamic group of scientists and engineers who enjoy working on interesting and relevant problems at the intersection of technology and the medical sciences. We are located at Campus Biotech in Geneva.
18/09/2019
Full time
The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Data Scientist & Project Manager (W/M)
Your mission : The Digital Epidemiology Lab at EPFL, based at Campus Biotech in Geneva, is running a multi-year citizen science research project around food & nutrition called "Food & You" (www.foodandyou.ch). In this project, potentially thousands of citizens participate in a study to understand better the links between nutrition, the microbiome, and blood glucose levels. The study is entirely coordinated through a mobile app and a website, forming one of the first "digital cohorts" that are increasingly seen as an important future of medical research in the digital age. After a successful launch, we want to expand our team working on this ambitious project which requires careful planning and dedicated execution. We are in particular looking to analyze and visualize the increasing amounts of data we are collecting. This is why we are looking for someone who is responsible for the data analysis while also providing project management support (starting date to be defined, but preferably as soon as possible). Main duties and responsibilities include : You will be responsible for all aspects of data analysis, and co-ordinate with the team on the execution and management of the project. Your tasks will include (non-exhaustive list):
Data analysis and visualization (and other aspects of the data science pipeline)
Management of project website
Coordination with device- and service suppliers
Coordination with academic partners
Coordination with academic partners
Management of logistics
Communication with participants and the media
Your profile : The ideal candidate should have :
has strong analytical and problem-solving skills
has strong organizational skills as well as the ability to adapt quickly to changing priorities
can set and meet ambitious deadlines
speaks English and French fluently, and ideally even German (as we're opening the German language section of the website soon)
ideally has research experience in bio/medical sciences
has the ability to read the scientific literature in the field. Ideally, you have an advanced degree in the bio/medical field (PhD, Dr.med) but this is not a requirement. Excellent candidates with other degrees are also considered, provided they can navigate the scientific literature.
This is a pioneering project with many unknowns, and so the most important skill set of the ideal candidate is to be able to navigate and execute despite many uncertainties. It's a good sign if you have worked in dynamic environment (e.g. startup) before and enjoyed the experience. You are going to be responsible for the data science aspects of the project, and help with the execution of the project, which involves a lot of different tasks, from data analysis to planning the logistics all the way to packing and shipping hundreds of boxes with sensors. This is a job for a true all-rounder. While technical skills such as web development & mobile development are not required, they will nevertheless be considered very favorably.
We offer :
EPFL is one of the world's leading technical universities. It is part of the Swiss federal government and offers the corresponding benefits.
The Digital Epidemiology Lab is a dynamic group of scientists and engineers who enjoy working on interesting and relevant problems at the intersection of technology and the medical sciences. We are located at Campus Biotech in Geneva.
At Starmind, we believe that the combined knowledge and cognitive capabilities of humans far exceed any existing technology's computing power; thus, we developed AI to empower and enhance rather than replace the human mind.
Our platform helps expedite people's advancement by exploring undocumented human intelligence and enabling real-time access to skills, knowledge, and solutions within corporations, communities, and, since we like to think of the bigger picture: the world.
We are backed by some of the best VC investors in Europe, becoming one of the fastest growing AI companies in Europe; and are rapidly expanding our team with the crème de la crème from Airbnb, Twitter, Salesforce, Zuora and many more.
Do you have what it takes to help us shape the future of AI?
Watch this video to find out how Starmind works!
What You Will Do
You do research on the best algorithms to tackle various challenges related to natural language processing, time series analysis, ranking, etc.
You build prototypes, you set up automatic benchmarking procedures and you assess the scalability and robustness of different solutions.
You follow new developments in machine learning and you attempt to reproduce relevant published results.
You actively share your know-how with our other data scientists (which already includes specialists in areas such as natural language processing, recurrent neural networks and mathematics) and in turn you learn from their ideas and expertise.
Who You Are
You can produce scalable, reliable and easy-to-understand code in Scala, Java and/or Python.
You are familiar with a wide range of machine learning approaches. Hand-on experience with deep learning models for natural language processing is a big plus.
You are passionate about the newest neural network architectures, but you also remain pragmatic and recognize that a simpler traditional machine learning model might work just as well for many use cases.
You enjoy solving mathematical problems.
You desire to work in a small, agile team environment.
You communicate proactively and work independently.
The Bounty
A dynamic, young company where input is welcomed and acted upon
High level of personal responsibility and independence
A challenging and exciting mission within an innovative and multi-cultural environment
The opportunity to work with some of the smartest and most innovative people in the market
18/09/2019
Full time
At Starmind, we believe that the combined knowledge and cognitive capabilities of humans far exceed any existing technology's computing power; thus, we developed AI to empower and enhance rather than replace the human mind.
Our platform helps expedite people's advancement by exploring undocumented human intelligence and enabling real-time access to skills, knowledge, and solutions within corporations, communities, and, since we like to think of the bigger picture: the world.
We are backed by some of the best VC investors in Europe, becoming one of the fastest growing AI companies in Europe; and are rapidly expanding our team with the crème de la crème from Airbnb, Twitter, Salesforce, Zuora and many more.
Do you have what it takes to help us shape the future of AI?
Watch this video to find out how Starmind works!
What You Will Do
You do research on the best algorithms to tackle various challenges related to natural language processing, time series analysis, ranking, etc.
You build prototypes, you set up automatic benchmarking procedures and you assess the scalability and robustness of different solutions.
You follow new developments in machine learning and you attempt to reproduce relevant published results.
You actively share your know-how with our other data scientists (which already includes specialists in areas such as natural language processing, recurrent neural networks and mathematics) and in turn you learn from their ideas and expertise.
Who You Are
You can produce scalable, reliable and easy-to-understand code in Scala, Java and/or Python.
You are familiar with a wide range of machine learning approaches. Hand-on experience with deep learning models for natural language processing is a big plus.
You are passionate about the newest neural network architectures, but you also remain pragmatic and recognize that a simpler traditional machine learning model might work just as well for many use cases.
You enjoy solving mathematical problems.
You desire to work in a small, agile team environment.
You communicate proactively and work independently.
The Bounty
A dynamic, young company where input is welcomed and acted upon
High level of personal responsibility and independence
A challenging and exciting mission within an innovative and multi-cultural environment
The opportunity to work with some of the smartest and most innovative people in the market
