QUALIFICATIONS
Advanced degree in a quantitative discipline (e.g., statistics, mathematics or econometrics, economics, ops. research or any related field)
Hands-on work experience in statistical or heavy numerical analyses
Strong knowledge of statistical approaches, incl. advanced machine learning techniques (e.g., Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and/or optimization
Fluent in two or more programming languages (e.g., R, Python, Julia, SQL, GMPL, or related), and knowledge of typical frameworks (e.g., TensorFlow)
Strong multi-tasking abilities, flexibility, and patience in a fluid environment
Excellent written and verbal communication skills, esp. ability to describe analytic processes from start to finish in your area of expertise
Professional attitude and service orientation; team player
Fluency in German
Willingness to travel up to 80%
WHO YOU'LL WORK WITH
You will be based in Zurich and will be part of Digital and Analytics McKinsey. This group is fully dedicated to working with client teams on solving our client’s business problems with a strong quantitative nature. You will assist our clients on site through conducting state of the art hands-on quantitative analysis across the spectrum of marketing and sales, risk, operations, etc.
WHAT YOU'LL DO
You will shape the future of what data-driven organizations look like, drive processes for extracting, analyzing and interpreting data in creative ways, and create valuable, transformative business strategies within an infinite number of clients and situations.
In this role you will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients’ key operational processes while continually improving the impact of these processes.
You will work directly on site with clients and client teams to conduct hands-on rigorous quantitative analysis as part of the overall problem solving approach. You will advise client teams on analytical options to address their specific needs, including discussing potential analytical approaches to problems, associated costs and trade-offs, and recommendations, while working with the team to translate input from quantitative analyses into specific and actionable business recommendations.
You will support clientele development through analytical approaches and support McKinsey proprietary knowledge investments via rigorous quantitative analysis, including interpreting findings and results as well as develop, in collaboration with other consultants, innovative analytical approaches. As an analytics consultant, you will be part of an internal network of all analytics colleagues, including exciting training's, and will also support internal (firm and practice) information requests as well as help build the analytics community in your local office (e.g. recruiting).
McKinsey & Company is an equal opportunity employer.
24/04/2019
Full time
QUALIFICATIONS
Advanced degree in a quantitative discipline (e.g., statistics, mathematics or econometrics, economics, ops. research or any related field)
Hands-on work experience in statistical or heavy numerical analyses
Strong knowledge of statistical approaches, incl. advanced machine learning techniques (e.g., Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and/or optimization
Fluent in two or more programming languages (e.g., R, Python, Julia, SQL, GMPL, or related), and knowledge of typical frameworks (e.g., TensorFlow)
Strong multi-tasking abilities, flexibility, and patience in a fluid environment
Excellent written and verbal communication skills, esp. ability to describe analytic processes from start to finish in your area of expertise
Professional attitude and service orientation; team player
Fluency in German
Willingness to travel up to 80%
WHO YOU'LL WORK WITH
You will be based in Zurich and will be part of Digital and Analytics McKinsey. This group is fully dedicated to working with client teams on solving our client’s business problems with a strong quantitative nature. You will assist our clients on site through conducting state of the art hands-on quantitative analysis across the spectrum of marketing and sales, risk, operations, etc.
WHAT YOU'LL DO
You will shape the future of what data-driven organizations look like, drive processes for extracting, analyzing and interpreting data in creative ways, and create valuable, transformative business strategies within an infinite number of clients and situations.
In this role you will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients’ key operational processes while continually improving the impact of these processes.
You will work directly on site with clients and client teams to conduct hands-on rigorous quantitative analysis as part of the overall problem solving approach. You will advise client teams on analytical options to address their specific needs, including discussing potential analytical approaches to problems, associated costs and trade-offs, and recommendations, while working with the team to translate input from quantitative analyses into specific and actionable business recommendations.
You will support clientele development through analytical approaches and support McKinsey proprietary knowledge investments via rigorous quantitative analysis, including interpreting findings and results as well as develop, in collaboration with other consultants, innovative analytical approaches. As an analytics consultant, you will be part of an internal network of all analytics colleagues, including exciting training's, and will also support internal (firm and practice) information requests as well as help build the analytics community in your local office (e.g. recruiting).
McKinsey & Company is an equal opportunity employer.
For one of our client based in Geneva, we are looking for an
Data Market Analyst
You will be responsible for providing analysis and Insight which help your division growth their business profitably
You should have business and communication skills and able to explain complex solutions to people from various functions and hierarchical levels.
You are comfortable to work in challenging environments with a contagious passion for data analytics and how it drives change.
Your contributions will drive the next generation of decision making and action taking in Global Aftermarket, Marketing and Brand at …, you will also join a network of analysts from multiple divisions, helping you grow your business understanding and Analytical skills.
Responsibilities :
Understand business needs and key decisions points
Deliver insight to support the above decisions
Provide relevant visualization to generate Insight
Leverage Analytical skills for on demand analysis or project based analytics
Lead on establishing data requirements according to business objectives
Required Skills :
3+ years of Business analyst experience
Very strong analytical skills
Robust SQL knowledge / Familiarity with R and / or Python
Robust visualization skills (Tableau /PowerBI)
(Please provide examples of the above as part of application)
Desired Skills :
Ability to work with technical & non-technical stakeholders with the ability to take & deliver Analysis & Insight.
Good working knowledge of CRM's, data warehouses & more
Bachelor degree in computer science or equivalent
Data-Experienced :
- Subject matter expert on data best practices - Attention to details - Developed from scratch databases from multiple initial sources with a BI end purpose - Knowledge of Data Governance practices and processes
Data systems savvy :
- Hadoop - AWS - SQL - Alteryx - Others Conditions : Missions for a one year contract with possibility to be internalized at client.
15/05/2019
Full time
For one of our client based in Geneva, we are looking for an
Data Market Analyst
You will be responsible for providing analysis and Insight which help your division growth their business profitably
You should have business and communication skills and able to explain complex solutions to people from various functions and hierarchical levels.
You are comfortable to work in challenging environments with a contagious passion for data analytics and how it drives change.
Your contributions will drive the next generation of decision making and action taking in Global Aftermarket, Marketing and Brand at …, you will also join a network of analysts from multiple divisions, helping you grow your business understanding and Analytical skills.
Responsibilities :
Understand business needs and key decisions points
Deliver insight to support the above decisions
Provide relevant visualization to generate Insight
Leverage Analytical skills for on demand analysis or project based analytics
Lead on establishing data requirements according to business objectives
Required Skills :
3+ years of Business analyst experience
Very strong analytical skills
Robust SQL knowledge / Familiarity with R and / or Python
Robust visualization skills (Tableau /PowerBI)
(Please provide examples of the above as part of application)
Desired Skills :
Ability to work with technical & non-technical stakeholders with the ability to take & deliver Analysis & Insight.
Good working knowledge of CRM's, data warehouses & more
Bachelor degree in computer science or equivalent
Data-Experienced :
- Subject matter expert on data best practices - Attention to details - Developed from scratch databases from multiple initial sources with a BI end purpose - Knowledge of Data Governance practices and processes
Data systems savvy :
- Hadoop - AWS - SQL - Alteryx - Others Conditions : Missions for a one year contract with possibility to be internalized at client.
Atos Consulting is a leading Swiss IT consulting company, part of the Atos Group. We work with prestigious international clients in the areas of Industry, Pharma, Insurances, Transport, Trading, Telecommunications, Media and Energy Sector.
For our Zurich and Basel team, we are currently looking for a Big Data/IoT Architect (m/f)
Your responsibilities
The Big Data/IoT Architect will be responsible for conceptualizing and guiding the full architectural lifecycle of a Big Data solution, including requirements analysis, governance, capacity requirements, technical architecture design, application design, testing and deployment
Provide technical direction in a team that designs and develops path breaking large-scale cluster data processing systems and delivering end-to-end solutions/services to customers
Interact with domain experts, solution architects and analytics developers to define data models for streaming input and delivering analytics output
Helping CxO-level stakeholders to develop strategies that maximize the value of their data, becoming data-driven organizations
Help establish thought leadership in the Big Data space by contributing internal papers, technical commentary to the user community and SME activities on presales strategy
Your profile
The ideal candidate comes from a hands-on background as either BI DWH Development / Data Engineer (+5 years) and evolved to Solution Architect/Innovation Leader
Solid cross-vertical expertise (at least 3 verticals between Pharma, Manufacturing, Telco, Insurance, Finance, Consumer Packaged Goods, Retail, Health & Government)
Experienced in designing, conceptualizing and implementing Big Data architectures
Proven design and implementation experience in:
IoT (e.g. Azure, Amazon, GCP)
MS BI Stack (SSAS, SSRS, SSIS, Power BI)
Big Data Platforms (e.g. Hortonworks, Cloudera)
Proven experience in Agile methodology (SCRUM, SAFe,…)
Fluent language skills in German and English
Your application
Are you interested joining a global and dynamic organization, working on challenging and exciting projects and being supported with training opportunities? Please submit your complete application online. We look forward.
For recruitment agencies: Atos Consulting does not accept unsolicited applications for any of the roles that we advertise. Furthermore, please note that no legal obligations or respective. compensation would derive from such unsolicited applications. Thank you for your understanding.
12/05/2019
Full time
Atos Consulting is a leading Swiss IT consulting company, part of the Atos Group. We work with prestigious international clients in the areas of Industry, Pharma, Insurances, Transport, Trading, Telecommunications, Media and Energy Sector.
For our Zurich and Basel team, we are currently looking for a Big Data/IoT Architect (m/f)
Your responsibilities
The Big Data/IoT Architect will be responsible for conceptualizing and guiding the full architectural lifecycle of a Big Data solution, including requirements analysis, governance, capacity requirements, technical architecture design, application design, testing and deployment
Provide technical direction in a team that designs and develops path breaking large-scale cluster data processing systems and delivering end-to-end solutions/services to customers
Interact with domain experts, solution architects and analytics developers to define data models for streaming input and delivering analytics output
Helping CxO-level stakeholders to develop strategies that maximize the value of their data, becoming data-driven organizations
Help establish thought leadership in the Big Data space by contributing internal papers, technical commentary to the user community and SME activities on presales strategy
Your profile
The ideal candidate comes from a hands-on background as either BI DWH Development / Data Engineer (+5 years) and evolved to Solution Architect/Innovation Leader
Solid cross-vertical expertise (at least 3 verticals between Pharma, Manufacturing, Telco, Insurance, Finance, Consumer Packaged Goods, Retail, Health & Government)
Experienced in designing, conceptualizing and implementing Big Data architectures
Proven design and implementation experience in:
IoT (e.g. Azure, Amazon, GCP)
MS BI Stack (SSAS, SSRS, SSIS, Power BI)
Big Data Platforms (e.g. Hortonworks, Cloudera)
Proven experience in Agile methodology (SCRUM, SAFe,…)
Fluent language skills in German and English
Your application
Are you interested joining a global and dynamic organization, working on challenging and exciting projects and being supported with training opportunities? Please submit your complete application online. We look forward.
For recruitment agencies: Atos Consulting does not accept unsolicited applications for any of the roles that we advertise. Furthermore, please note that no legal obligations or respective. compensation would derive from such unsolicited applications. Thank you for your understanding.
As a Business Intelligence Analyst you play a vital role in driving the fast-growing payment business of Worldline. Located in the Global Business Division Commercial Acquiring, this transversal role comes with a global responsibility for all payment methods and acquiring-related products tailored to merchants globally. With a long-term, strategic view on the current product portfolio, the future commercial roadmap, and the innovation pipeline you are making a difference at the heart of Worldline, namely through its product and portfolio management. Through running the SAP Business Intelligence, through providing visibility on key performance indicators, and through driving business-critical analyses you generate important insights enabling Management to successfully driving the business, and create value by supporting Product Managers of the various payment methods in Worldline’s portfolio.
Your tasks
Providing and continuously improving product and project reporting towards internal addressees (e.g. Management, Finance) and external stakeholders (e.g. regulatory bodies, payment schemes)
Driving analyses and quantitative intelligence , typically maintaining and using SAP Business Intelligence solutions and often liaising with key stakeholders of other departments like Finance, Sales and IT
Informing commercial roadmap and product innovation decisions by generating quantitative, competitive, and market insights, e.g. in the field of PSD2 and mobile payments
Enabling financial steering of the division by developing a financial controlling system spanning the full P&L together with Management and Finance
Supporting overall strategy work through providing business analyses, creating insights, and contributing to discussions with Product Managers and Management
Your profile
Relevant higher education , preferable in business, IT, or related fields – ideally combined with working experience in payment industry
Deep experience with SAP Business Intelligence (aka SAP Business Information Warehouse), front- and backend, is a huge plus; ideally you are also familiar with adjacent solutions such as SAP Business Objects and SAP Design Studio
Strong interest in data gathering, analysis, and reporting with a passion for generating insights and deriving business value out of data
Excellent analytical skills and superb knowledge of Microsoft Office suite to translate those skills into meaningful outputs, in particular via Power Point and Excel
Excellent written and verbal communication skills in English, German is a plus
Strong interpersonal skills, excellent team player within an international environment, and fun to work with
Shared values
The 11’000 men and women of Worldline – SIX Payment Services are all different but share the same values. You can see it in the way we behave. We are curious and humble – we are learning every day, we keep things simple and everyone engaged. In our fast-moving industry, we are adaptable and life-long learners. Everyone demonstrates the same dedication to quality and efficiency. We have an entrepreneurial spirit and sense of service. And above all, we never turn our back on a challenge. These values nurture a dynamic and innovative team where everyone can develop and grow.
Your Application
If you wish to apply for this position, please click below to complete our online application form and attach your CV in either Word, rtf or text format. Atos does not discriminate on the basis of race, religion, colour, sex, age, disability or sexual orientation. All recruitment decisions are based solely on qualifications, skills, knowledge and experience and relevant business requirements. We are committed to making reasonable adjustments to the applications process for people with disabilities.
12/05/2019
Full time
As a Business Intelligence Analyst you play a vital role in driving the fast-growing payment business of Worldline. Located in the Global Business Division Commercial Acquiring, this transversal role comes with a global responsibility for all payment methods and acquiring-related products tailored to merchants globally. With a long-term, strategic view on the current product portfolio, the future commercial roadmap, and the innovation pipeline you are making a difference at the heart of Worldline, namely through its product and portfolio management. Through running the SAP Business Intelligence, through providing visibility on key performance indicators, and through driving business-critical analyses you generate important insights enabling Management to successfully driving the business, and create value by supporting Product Managers of the various payment methods in Worldline’s portfolio.
Your tasks
Providing and continuously improving product and project reporting towards internal addressees (e.g. Management, Finance) and external stakeholders (e.g. regulatory bodies, payment schemes)
Driving analyses and quantitative intelligence , typically maintaining and using SAP Business Intelligence solutions and often liaising with key stakeholders of other departments like Finance, Sales and IT
Informing commercial roadmap and product innovation decisions by generating quantitative, competitive, and market insights, e.g. in the field of PSD2 and mobile payments
Enabling financial steering of the division by developing a financial controlling system spanning the full P&L together with Management and Finance
Supporting overall strategy work through providing business analyses, creating insights, and contributing to discussions with Product Managers and Management
Your profile
Relevant higher education , preferable in business, IT, or related fields – ideally combined with working experience in payment industry
Deep experience with SAP Business Intelligence (aka SAP Business Information Warehouse), front- and backend, is a huge plus; ideally you are also familiar with adjacent solutions such as SAP Business Objects and SAP Design Studio
Strong interest in data gathering, analysis, and reporting with a passion for generating insights and deriving business value out of data
Excellent analytical skills and superb knowledge of Microsoft Office suite to translate those skills into meaningful outputs, in particular via Power Point and Excel
Excellent written and verbal communication skills in English, German is a plus
Strong interpersonal skills, excellent team player within an international environment, and fun to work with
Shared values
The 11’000 men and women of Worldline – SIX Payment Services are all different but share the same values. You can see it in the way we behave. We are curious and humble – we are learning every day, we keep things simple and everyone engaged. In our fast-moving industry, we are adaptable and life-long learners. Everyone demonstrates the same dedication to quality and efficiency. We have an entrepreneurial spirit and sense of service. And above all, we never turn our back on a challenge. These values nurture a dynamic and innovative team where everyone can develop and grow.
Your Application
If you wish to apply for this position, please click below to complete our online application form and attach your CV in either Word, rtf or text format. Atos does not discriminate on the basis of race, religion, colour, sex, age, disability or sexual orientation. All recruitment decisions are based solely on qualifications, skills, knowledge and experience and relevant business requirements. We are committed to making reasonable adjustments to the applications process for people with disabilities.
Die ZHAW Zürcher Hochschule für Angewandte Wissenschaften ist mit über 13'000 Studierenden und rund 3'000 Mitarbeitenden eine der grössten Mehrsparten-Fachhochschulen der Schweiz.
12/05/2019
Full time
Die ZHAW Zürcher Hochschule für Angewandte Wissenschaften ist mit über 13'000 Studierenden und rund 3'000 Mitarbeitenden eine der grössten Mehrsparten-Fachhochschulen der Schweiz.
For our pharma client in Basel we are currently looking for a
Data Scientist / Project Manager
We are looking for an experienced Data Scientist / Project Manager. You will be part of the the clients Business Intelligence and Search team which is based in Basel area. As the data scientist and project manager you will be responsible for driving development and implementation of advanced analytics projects.
Tasks & Responsibilities:
Perform detailed technical assessment of current POCs (Proof of Concepts) to define best approach for the productive realization
Create the project plan and estimations
Support/coach developers in the data understanding and preparation
Design and/or contribute to the design of statistical and machine learning models
Support the evaluation of the designed models
Coach team members on the design and scientific background of statistical models
Write the project documentation
Organize knowledge sharing session with the rest of the Solution Center team in order to teach Data Science basics principles to them.
Must Haves:
+5 years of experience in project management in the relevant area (including experience with data science is mandatory)
Experience of the major data science modeling methods and machine learning (at least 3 years)
Substantial experience with R and Python
In-depth knowledge of relational database principles and corresponding query language skills (e.g. SQL)
Experience using big data platforms such as Hadoop
Experience using container technologies (e.g. Docker and Kubernetes)
Experience in applying statistical modeling, machine learning, exploratory, and confirmatory data analysis in mid to large volume data sets
Good verbal and writing communication skills in English
Nice to Haves: +++ Knowledge of Docker / Container is highly preferred +++ Experience with Spark is a plus +++ Experience in leading teams ++ Familiar with the Agile methodology ++ PM certification
Start date: 01.07.2019 Duration: 31.09.2019 (renewable every 3 months, planned until end of 2020) Location: Basel area
10/05/2019
Freelance
For our pharma client in Basel we are currently looking for a
Data Scientist / Project Manager
We are looking for an experienced Data Scientist / Project Manager. You will be part of the the clients Business Intelligence and Search team which is based in Basel area. As the data scientist and project manager you will be responsible for driving development and implementation of advanced analytics projects.
Tasks & Responsibilities:
Perform detailed technical assessment of current POCs (Proof of Concepts) to define best approach for the productive realization
Create the project plan and estimations
Support/coach developers in the data understanding and preparation
Design and/or contribute to the design of statistical and machine learning models
Support the evaluation of the designed models
Coach team members on the design and scientific background of statistical models
Write the project documentation
Organize knowledge sharing session with the rest of the Solution Center team in order to teach Data Science basics principles to them.
Must Haves:
+5 years of experience in project management in the relevant area (including experience with data science is mandatory)
Experience of the major data science modeling methods and machine learning (at least 3 years)
Substantial experience with R and Python
In-depth knowledge of relational database principles and corresponding query language skills (e.g. SQL)
Experience using big data platforms such as Hadoop
Experience using container technologies (e.g. Docker and Kubernetes)
Experience in applying statistical modeling, machine learning, exploratory, and confirmatory data analysis in mid to large volume data sets
Good verbal and writing communication skills in English
Nice to Haves: +++ Knowledge of Docker / Container is highly preferred +++ Experience with Spark is a plus +++ Experience in leading teams ++ Familiar with the Agile methodology ++ PM certification
Start date: 01.07.2019 Duration: 31.09.2019 (renewable every 3 months, planned until end of 2020) Location: Basel area
Michael Bailey Associates are currently recruiting for a Big Data Engineer for a Leading Financial Client in Zurich, Switzerland.
Duration : until 31.12.2019
Main responsibilities will include :
The role of Big Data Engineer for this contract will primarily focus on data sourcing and data integration tasks.
Collaborate closely with data scientists in the business teams to understand data and functional requirements.
Design and build data pipelines to ingest, integrate, standardise, clean and publish data.
Integrate analytical models developed by the data scientists into end-to-end data pipelines.
The skills required will be:
Demonstrated work experience as a Data/Software Engineer using Big Data technologies.
Understanding of data modelling and creating data structures on Hadoop.
Experience with building data pipelines on Hadoop, ideally Cloudera distribution, using Spark, Scala, Python and similar languages.
Very good knowledge of SQL, Impala and Hive databases.
Software lifecycle experience, i.e. build, deployment, testing, release and maintenance.
Michael Bailey International is acting as an Employment Business in relation to this vacancy.
08/05/2019
Freelance
Michael Bailey Associates are currently recruiting for a Big Data Engineer for a Leading Financial Client in Zurich, Switzerland.
Duration : until 31.12.2019
Main responsibilities will include :
The role of Big Data Engineer for this contract will primarily focus on data sourcing and data integration tasks.
Collaborate closely with data scientists in the business teams to understand data and functional requirements.
Design and build data pipelines to ingest, integrate, standardise, clean and publish data.
Integrate analytical models developed by the data scientists into end-to-end data pipelines.
The skills required will be:
Demonstrated work experience as a Data/Software Engineer using Big Data technologies.
Understanding of data modelling and creating data structures on Hadoop.
Experience with building data pipelines on Hadoop, ideally Cloudera distribution, using Spark, Scala, Python and similar languages.
Very good knowledge of SQL, Impala and Hive databases.
Software lifecycle experience, i.e. build, deployment, testing, release and maintenance.
Michael Bailey International is acting as an Employment Business in relation to this vacancy.
ABOUT VIU
VIU is a young and innovative eyewear label from Switzerland. We have set out to revolutionize the market for designer eyewear with our direct-to-consumer business model. Cutting out middle men we are able to combine highest quality with fair prices. VIU glasses are designed in Zurich and handmade in Italy and Japan. We offer a unique customer experience in more than 40 flagship stores across Switzerland, Germany, Austria, UK & Scandinavia as well as our online store. Our main office locations are Zurich and Munich.
THE JOB
To enable our data science and analysts with a state of the art data architecture we are looking for a data engineer with the skill-set to help us build up and further improve our data management and analytics tools and platforms. The aim is to provide clean, usable data to whomever may require it within VIU. Are you looking for a data engineering job in a fast-growing company with a vision? Not afraid to get your hands dirty and learn from your mistakes? With a drive to find the best solution possible?
YOUR TASKS
Design, construct, install, test and maintain highly scalable data management systems
Ensure systems meet business requirements and industry practices
Build high-performance algorithms, prototypes, predictive models and proof of concepts
Research opportunities for data acquisition and new uses for existing data
Develop data set processes for data modeling, mining and production
Integrate new data management technologies and software engineering tools into existing structures
Create custom software components (e.g. specialized UDFs) and analytics applications
Install and update disaster recovery procedures
Recommend ways to improve data reliability, efficiency and quality
Actively help shaping our engineering culture
YOUR PROFILE
BSc or MSc in Data Engineering, Computer Science, Mathematics or a related field
Tenacious, investigative, and curious personality
Real passion for collaboration and strong interpersonal skills
SQL-based technologies (e.g. PostgreSQL and MySQL)
MatLab, SAS, R
Experience with different data warehousing solutions
Experience with functional, imperative and object- oriented languages; knowledge of Ruby, Python and/or Elixir would be especially useful
Strong grasp of database structure, design, query languages (e.g. SQL)
Being technology/language agnostic, willingness to use different languages
Business-fluent in English (orally and in writing). German is a plus
Valid working permission for the EU or Switzerland
WHAT TO EXPECT FROM VIU
Open and dynamic culture with flat hierarchies and zero red tape
Exciting development opportunities in a rapidly growing international start-up
Flexible work environment – we focus on impact not facetime
We make sure to create a joyful environment, celebrate success, and support each other in times of need
5 weeks of vacation with options of unpaid vacation/sabbaticals
Join the designer eyewear revolution and send us your application!
Contact Person : Dario Lombriser
08/05/2019
Full time
ABOUT VIU
VIU is a young and innovative eyewear label from Switzerland. We have set out to revolutionize the market for designer eyewear with our direct-to-consumer business model. Cutting out middle men we are able to combine highest quality with fair prices. VIU glasses are designed in Zurich and handmade in Italy and Japan. We offer a unique customer experience in more than 40 flagship stores across Switzerland, Germany, Austria, UK & Scandinavia as well as our online store. Our main office locations are Zurich and Munich.
THE JOB
To enable our data science and analysts with a state of the art data architecture we are looking for a data engineer with the skill-set to help us build up and further improve our data management and analytics tools and platforms. The aim is to provide clean, usable data to whomever may require it within VIU. Are you looking for a data engineering job in a fast-growing company with a vision? Not afraid to get your hands dirty and learn from your mistakes? With a drive to find the best solution possible?
YOUR TASKS
Design, construct, install, test and maintain highly scalable data management systems
Ensure systems meet business requirements and industry practices
Build high-performance algorithms, prototypes, predictive models and proof of concepts
Research opportunities for data acquisition and new uses for existing data
Develop data set processes for data modeling, mining and production
Integrate new data management technologies and software engineering tools into existing structures
Create custom software components (e.g. specialized UDFs) and analytics applications
Install and update disaster recovery procedures
Recommend ways to improve data reliability, efficiency and quality
Actively help shaping our engineering culture
YOUR PROFILE
BSc or MSc in Data Engineering, Computer Science, Mathematics or a related field
Tenacious, investigative, and curious personality
Real passion for collaboration and strong interpersonal skills
SQL-based technologies (e.g. PostgreSQL and MySQL)
MatLab, SAS, R
Experience with different data warehousing solutions
Experience with functional, imperative and object- oriented languages; knowledge of Ruby, Python and/or Elixir would be especially useful
Strong grasp of database structure, design, query languages (e.g. SQL)
Being technology/language agnostic, willingness to use different languages
Business-fluent in English (orally and in writing). German is a plus
Valid working permission for the EU or Switzerland
WHAT TO EXPECT FROM VIU
Open and dynamic culture with flat hierarchies and zero red tape
Exciting development opportunities in a rapidly growing international start-up
Flexible work environment – we focus on impact not facetime
We make sure to create a joyful environment, celebrate success, and support each other in times of need
5 weeks of vacation with options of unpaid vacation/sabbaticals
Join the designer eyewear revolution and send us your application!
Contact Person : Dario Lombriser
GENERAL SUMMARY:
As part of the Governance Team, drive the adherence to quality standard (completeness, timeliness, consistency) and the control of process execution through data analysis, reporting and education within and outside the MDM organization. Suggest, define and support data quality standard and process evolution. Responsible for reporting and analysis for all master data domains as well as to initiate action plan to improve data quality level. Actively involved and support Genesis deployment.
PRIMARY ACCOUNTABILITIES:
Ensures consistency and quality of Master Data and related process execution
Implement quality data checks, standard and rules in the Data Quality Dashboard with related updates of standard documentation and work procedure
Produces quality and process execution control reporting
Run master data analysis
Raises concerns about master data quality and potential related issues, including action plan for improvements
Creates awareness/education around master data quality and procedures
Assists in initiatives to improve Master Data quality, e.g. data cleansing activities
Maintains documentation on work procedures, including deployment
Support operational procedure definition and deployment
QUALIFICATIONS:
The requirements listed below are representative of the knowledge, skills, and /or abilities required for the individual to be successful in this position.
Strong attention to detail;
Process-oriented with a firm understanding of Master Data, Master Data flows and processes;
Respect for adhering to governance policies and procedures;
Strong computer skills, knowledge of SAP and strategic applications or ability to learn; Strong understanding of master data model and data relationship
Motivated to adhere to standards, processes and Service Level Agreements;
Conceptual knowledge of information technologies and methodologies;
Familiar with Data Quality Dashboards tooling's ( nice- to have)
Passion for Master Data Quality.
Good communication skills / Relationship builder
Language skills: English – Other language is a plus.
08/05/2019
Full time
GENERAL SUMMARY:
As part of the Governance Team, drive the adherence to quality standard (completeness, timeliness, consistency) and the control of process execution through data analysis, reporting and education within and outside the MDM organization. Suggest, define and support data quality standard and process evolution. Responsible for reporting and analysis for all master data domains as well as to initiate action plan to improve data quality level. Actively involved and support Genesis deployment.
PRIMARY ACCOUNTABILITIES:
Ensures consistency and quality of Master Data and related process execution
Implement quality data checks, standard and rules in the Data Quality Dashboard with related updates of standard documentation and work procedure
Produces quality and process execution control reporting
Run master data analysis
Raises concerns about master data quality and potential related issues, including action plan for improvements
Creates awareness/education around master data quality and procedures
Assists in initiatives to improve Master Data quality, e.g. data cleansing activities
Maintains documentation on work procedures, including deployment
Support operational procedure definition and deployment
QUALIFICATIONS:
The requirements listed below are representative of the knowledge, skills, and /or abilities required for the individual to be successful in this position.
Strong attention to detail;
Process-oriented with a firm understanding of Master Data, Master Data flows and processes;
Respect for adhering to governance policies and procedures;
Strong computer skills, knowledge of SAP and strategic applications or ability to learn; Strong understanding of master data model and data relationship
Motivated to adhere to standards, processes and Service Level Agreements;
Conceptual knowledge of information technologies and methodologies;
Familiar with Data Quality Dashboards tooling's ( nice- to have)
Passion for Master Data Quality.
Good communication skills / Relationship builder
Language skills: English – Other language is a plus.
Pour notre partenaire actif dans le domaine de la recherche dans le canton de Berne, nous recherchons un:
Data Manager
Votre défi
Enant que Data Manager vous analysis et visualisez les données et vous proposez la stratégie scientifique dans le domaine. En effet vous réalisez une première analysis of the existing données, vous harmonisez et reliez les données avec des bases des données, vous rédigez of the analysis and et pub publiez les résultats. De plus vous contribuez activement à l'amélioration de la qualité des données et vous participez aux projets informatiques.
Vos compétences
Master or PhD in Science of Surveying, Statistiques ou un autre domain de l'analysis computationnelle des données
Expérience dans l'analyze des données
Excellent connaissances de programmation R
Connaissances approfondies des logiciels visualization of données (ggplot2, Shiny, D3.js, etc.) et de SQL
Connaissances en machine learning
Expérience avec les indicateurs et les données bibliométrique
Expérience avec les méthodologies Agile
Excellent connaissances du français et bonnes connaissances de l'allemand (ou inversement) et de l'anglais à l'oral et à l'écrit
Vos perspectives
Ce challenge vous intéresse? N'hésitez pas à me contacter adina.moraru@springprofessional.ch ou à postuler directement au poste via le lien indiqué sur l'annonce.
Votre contact
Mme Adina Moraru, Consultant Retail, répond à toutes vos questions au Tel. +41 58 233 2708 or e-mail .
Vous pouvez postuler en ligne, ou par eMail . Merci de préciser la référence JN -012019-294597
23/04/2019
Full time
Pour notre partenaire actif dans le domaine de la recherche dans le canton de Berne, nous recherchons un:
Data Manager
Votre défi
Enant que Data Manager vous analysis et visualisez les données et vous proposez la stratégie scientifique dans le domaine. En effet vous réalisez une première analysis of the existing données, vous harmonisez et reliez les données avec des bases des données, vous rédigez of the analysis and et pub publiez les résultats. De plus vous contribuez activement à l'amélioration de la qualité des données et vous participez aux projets informatiques.
Vos compétences
Master or PhD in Science of Surveying, Statistiques ou un autre domain de l'analysis computationnelle des données
Expérience dans l'analyze des données
Excellent connaissances de programmation R
Connaissances approfondies des logiciels visualization of données (ggplot2, Shiny, D3.js, etc.) et de SQL
Connaissances en machine learning
Expérience avec les indicateurs et les données bibliométrique
Expérience avec les méthodologies Agile
Excellent connaissances du français et bonnes connaissances de l'allemand (ou inversement) et de l'anglais à l'oral et à l'écrit
Vos perspectives
Ce challenge vous intéresse? N'hésitez pas à me contacter adina.moraru@springprofessional.ch ou à postuler directement au poste via le lien indiqué sur l'annonce.
Votre contact
Mme Adina Moraru, Consultant Retail, répond à toutes vos questions au Tel. +41 58 233 2708 or e-mail .
Vous pouvez postuler en ligne, ou par eMail . Merci de préciser la référence JN -012019-294597
CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of Digital Transformation, Performance Management and Data Governance. Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support.
In order to strengthen our teams, we are looking for one of our customers in Geneva a (e):
ROLE AND RESPONSIBILITIES
As part of our customer's digitalization initiative, it is setting up a new analytical platform focused on new technologies, such as Big Data. This platform will enable the community of more than 800 users to perform analytical reporting as well as open the doors to predictive analysis. We are looking for a Data Engineer who will strengthen the current team to help in the implementation of this new platform (ie setup and configuration, data loading) as well as to evolve our current solutions which are based on technologies more classic. Based on agile approaches, your activities will cover all aspects of implementation, from the collection of needs to the provision of solutions, through analysis, modeling, development, testing, documentation, etc.
SKILL REQUIRED
Very good general knowledge of concepts and tools that revolve around Big Data, especially the Hadoop-based tool suite and Horton / Cloudera distribution
Minimum 3 years of recent experience in setting up and implementing solutions revolving around these new technologies
Very good skills in the field of data flows and ETL developments (min 3 years of recent experience), Informatica an asset
Very good skills in the field of relational databases, especially the modeling of new schemas, querying or analysis of existing model (minimum 3 years of recent experience), Oracle an asset
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together! So, do not hesitate, come join us.
22/04/2019
Full time
CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of Digital Transformation, Performance Management and Data Governance. Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support.
In order to strengthen our teams, we are looking for one of our customers in Geneva a (e):
ROLE AND RESPONSIBILITIES
As part of our customer's digitalization initiative, it is setting up a new analytical platform focused on new technologies, such as Big Data. This platform will enable the community of more than 800 users to perform analytical reporting as well as open the doors to predictive analysis. We are looking for a Data Engineer who will strengthen the current team to help in the implementation of this new platform (ie setup and configuration, data loading) as well as to evolve our current solutions which are based on technologies more classic. Based on agile approaches, your activities will cover all aspects of implementation, from the collection of needs to the provision of solutions, through analysis, modeling, development, testing, documentation, etc.
SKILL REQUIRED
Very good general knowledge of concepts and tools that revolve around Big Data, especially the Hadoop-based tool suite and Horton / Cloudera distribution
Minimum 3 years of recent experience in setting up and implementing solutions revolving around these new technologies
Very good skills in the field of data flows and ETL developments (min 3 years of recent experience), Informatica an asset
Very good skills in the field of relational databases, especially the modeling of new schemas, querying or analysis of existing model (minimum 3 years of recent experience), Oracle an asset
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together! So, do not hesitate, come join us.
We are looking for a Data Engineer for one of our Geneva based customers.
Responsibilities:
Strengthen agile development capacity in the database
Participation in the evolution of databases, and modeling of the HUB and Datawarehouse
Develop and support ETL feed
Analyze, model and integrate external data sources
Database support for application development and web services
Implementation of "best practices" for the data model, the database life cycle and the testing practices
Profile
Required Skills :
Very good knowledge of relational databases, SQL, optimization of SQL queries, PL / SQL.
Very good knowledge of Oracle.
Very good knowledge of HUB and DataWareHouse databases, with practical experience.
Very good ability to model financial data, alternative funds an asset.
Good knowledge of agile principles. Experience in Scrum practice an asset.
Knowledge of Informatica an asset.
Knowledge of Sisense an asset
Languages:
French mother language
English: advanced
Training and qualifications :
EPF diploma, HES, university degree or training deemed equivalent.
Home in Switzerland for more than 3 years required. Activity rate: 100% Date taken from the position: as soon as possible
16/04/2019
Full time
We are looking for a Data Engineer for one of our Geneva based customers.
Responsibilities:
Strengthen agile development capacity in the database
Participation in the evolution of databases, and modeling of the HUB and Datawarehouse
Develop and support ETL feed
Analyze, model and integrate external data sources
Database support for application development and web services
Implementation of "best practices" for the data model, the database life cycle and the testing practices
Profile
Required Skills :
Very good knowledge of relational databases, SQL, optimization of SQL queries, PL / SQL.
Very good knowledge of Oracle.
Very good knowledge of HUB and DataWareHouse databases, with practical experience.
Very good ability to model financial data, alternative funds an asset.
Good knowledge of agile principles. Experience in Scrum practice an asset.
Knowledge of Informatica an asset.
Knowledge of Sisense an asset
Languages:
French mother language
English: advanced
Training and qualifications :
EPF diploma, HES, university degree or training deemed equivalent.
Home in Switzerland for more than 3 years required. Activity rate: 100% Date taken from the position: as soon as possible
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally. A leader in the field of manufacturing and selling of several drugs with treatment of Cancer.
We are currently looking for an enthusiastic Scientist Bioinformatics & Data Analysis for a 2-years contract to be based in Basel . As an ideal candidate you should have 2+ years of experience in processing and analysing metagenomics/microbiomics data , and good knowledge of Python and R .
As a Scientist Bioinformatics & Data Analysis you will work in close collaboration with scientists using state-of-the-art bioinformatics and biostatistics tools and methods. The main focus of this bioinformatics position is the implementation of a pipeline to process and analyse metagenomics/microbiomics data in the context of pharmaceutical research.
Main Responsibilities:
Evaluation of tools and methods for metagenomics analysis;
Development of a pipeline to process metagenomics data;
Data management of metagenomics data;
Visualization of metagenomics data;
Data mining of public and internal microbiomics data.
Qualifications and Experience:
PhD or Master’s degree;
2+ years of industry experience;
Highly self-motivated, interested in working in a multinational company;
Good knowledge of Python, R or at least one programming language;
Previous experience in metagenomics/ microbiomics data analysis would be beneficial;
Proficiency in working with bioinformatics tools and methods;
Strong background in Statistics;
Basic knowledge in biological sciences would be beneficial;
Good communication skills in English;
Relevant working/residency permit or Swiss/EU-Citizenship required.
16/04/2019
Full time
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally. A leader in the field of manufacturing and selling of several drugs with treatment of Cancer.
We are currently looking for an enthusiastic Scientist Bioinformatics & Data Analysis for a 2-years contract to be based in Basel . As an ideal candidate you should have 2+ years of experience in processing and analysing metagenomics/microbiomics data , and good knowledge of Python and R .
As a Scientist Bioinformatics & Data Analysis you will work in close collaboration with scientists using state-of-the-art bioinformatics and biostatistics tools and methods. The main focus of this bioinformatics position is the implementation of a pipeline to process and analyse metagenomics/microbiomics data in the context of pharmaceutical research.
Main Responsibilities:
Evaluation of tools and methods for metagenomics analysis;
Development of a pipeline to process metagenomics data;
Data management of metagenomics data;
Visualization of metagenomics data;
Data mining of public and internal microbiomics data.
Qualifications and Experience:
PhD or Master’s degree;
2+ years of industry experience;
Highly self-motivated, interested in working in a multinational company;
Good knowledge of Python, R or at least one programming language;
Previous experience in metagenomics/ microbiomics data analysis would be beneficial;
Proficiency in working with bioinformatics tools and methods;
Strong background in Statistics;
Basic knowledge in biological sciences would be beneficial;
Good communication skills in English;
Relevant working/residency permit or Swiss/EU-Citizenship required.
IHS Markit (Nasdaq: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide. The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world’s leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth.
The Data Scientist will support the project insights gained from analyzing company data. The candidate must have good experience using a variety of data mining/data analysis methods, using a variety of data tools, helping building and implementing models. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
In this role, the candidate will apply practical experience in mining, cleansing, and analyzing unsynchronised data, understanding of data science algorithms and willingness to write code to explore problems and understand data. The candidate will work hand-in-hand with Subject Matter Experts and the technical team.
The ideal candidate responsibilities will include;
2-3 years of experience manipulating data sets and building statistical model
Analyse data from company databases to drive optimization and improvement of product development and business strategies
A passion for discovering solutions hidden in large data set
SQL skills for data retrieval, analysis and data cleansing
Develop processes and tools to monitor and analyse model performance and data accuracy
Understanding of data science algorithms
Personal Specification
Experience with programming languages such as R/Python..
Solid background in programming, good knowledge of operating system
Robust knowledge on Database structures (Oracle, SQL)
An understanding of Data Management Systems.
Good knowledge of an Agile development environment
Keep up-to-date with latest technology trends (Machine Learning)
Be an effective communicator, self-motivated, and able to drive insights into actions
Excellent written and verbal communication skills for coordinating across teams
Fluent English language (spoken and written; French a plus.
Ability to explain a technical subject to a non-technical audience
Delivering, communicating, and/or presenting results
Analytical skills, methodological thinking and problem-solving capabilities
IHS Markit is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or accommodation to use our website to apply to a position, please contact accessibility@ihsmarkit.com or call +1 212 849 0399. Determination on requests for reasonable accommodation will be considered on a case-by-case basis.
This contact information (email and phone) is intended for application assistance and accommodation requests only.
We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process and only qualified candidates will receive consideration and follow-up.
IHS Markit is proud to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We maintain a drug-free workplace and perform pre-employment drug testing. As a federal contractor in the United States, IHS Markit is required to participate in the E-Verify Program to confirm eligibility to work in the United States. For information regarding legal rights and protections in the United States
Current Colleagues
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
11/04/2019
Full time
IHS Markit (Nasdaq: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide. The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world’s leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth.
The Data Scientist will support the project insights gained from analyzing company data. The candidate must have good experience using a variety of data mining/data analysis methods, using a variety of data tools, helping building and implementing models. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
In this role, the candidate will apply practical experience in mining, cleansing, and analyzing unsynchronised data, understanding of data science algorithms and willingness to write code to explore problems and understand data. The candidate will work hand-in-hand with Subject Matter Experts and the technical team.
The ideal candidate responsibilities will include;
2-3 years of experience manipulating data sets and building statistical model
Analyse data from company databases to drive optimization and improvement of product development and business strategies
A passion for discovering solutions hidden in large data set
SQL skills for data retrieval, analysis and data cleansing
Develop processes and tools to monitor and analyse model performance and data accuracy
Understanding of data science algorithms
Personal Specification
Experience with programming languages such as R/Python..
Solid background in programming, good knowledge of operating system
Robust knowledge on Database structures (Oracle, SQL)
An understanding of Data Management Systems.
Good knowledge of an Agile development environment
Keep up-to-date with latest technology trends (Machine Learning)
Be an effective communicator, self-motivated, and able to drive insights into actions
Excellent written and verbal communication skills for coordinating across teams
Fluent English language (spoken and written; French a plus.
Ability to explain a technical subject to a non-technical audience
Delivering, communicating, and/or presenting results
Analytical skills, methodological thinking and problem-solving capabilities
IHS Markit is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or accommodation to use our website to apply to a position, please contact accessibility@ihsmarkit.com or call +1 212 849 0399. Determination on requests for reasonable accommodation will be considered on a case-by-case basis.
This contact information (email and phone) is intended for application assistance and accommodation requests only.
We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process and only qualified candidates will receive consideration and follow-up.
IHS Markit is proud to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We maintain a drug-free workplace and perform pre-employment drug testing. As a federal contractor in the United States, IHS Markit is required to participate in the E-Verify Program to confirm eligibility to work in the United States. For information regarding legal rights and protections in the United States
Current Colleagues
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
Our client, one of the most innovative bio-pharmaceutical companies, is looking for a Data Scientist Proteomics for a permanent position based in the Basel area .
Main Responsibilities:
Building suitable workflows to analyse data dependent and data independent proteomic experiments;
Developing standardized workflows for proteomic data storage, management and retrieval;
Evaluating high resolution proteomic mass spectrometry datasets to generate knowledge on pharmacological mechanism of action and biomarkers;
Ensuring data analysis work is well documented and highly traceable;
Integrating proteomic datasets with other data types;
Reporting and present results to cross functional project teams including potential interpretations;
Working with disease area partners and mass spectrometry lab to ensure optimum study design;
Interacting with other statistical and data analysis functions
Qualifications and Experience:
PhD in biochemistry, biotechnology, bioinformatics or appropriate related discipline;
Analysing proteomic datasets with both data dependent and data independent strategies;
Knowledge in analysis of omics datasets for pharmacological mechanisms and/or disease biomarkers;
Strong background in computational analysis and experienced in using statistical packages such as R;
Experience with communicating omics data to non-specialists;
Hands-on experience with sample preparation for proteomics and operating high resolution mass spectrometers and nanoflow-LC preferable;
Experience in one or more therapeutic areas (CNS, immunology, oncology and CV/fibrosis) advantageous;
Proficient in the English, written and spoken. German and/or French would be an advantage.
Relevant working/residency permit or Swiss/EU-Citizenship required.
11/04/2019
Full time
Our client, one of the most innovative bio-pharmaceutical companies, is looking for a Data Scientist Proteomics for a permanent position based in the Basel area .
Main Responsibilities:
Building suitable workflows to analyse data dependent and data independent proteomic experiments;
Developing standardized workflows for proteomic data storage, management and retrieval;
Evaluating high resolution proteomic mass spectrometry datasets to generate knowledge on pharmacological mechanism of action and biomarkers;
Ensuring data analysis work is well documented and highly traceable;
Integrating proteomic datasets with other data types;
Reporting and present results to cross functional project teams including potential interpretations;
Working with disease area partners and mass spectrometry lab to ensure optimum study design;
Interacting with other statistical and data analysis functions
Qualifications and Experience:
PhD in biochemistry, biotechnology, bioinformatics or appropriate related discipline;
Analysing proteomic datasets with both data dependent and data independent strategies;
Knowledge in analysis of omics datasets for pharmacological mechanisms and/or disease biomarkers;
Strong background in computational analysis and experienced in using statistical packages such as R;
Experience with communicating omics data to non-specialists;
Hands-on experience with sample preparation for proteomics and operating high resolution mass spectrometers and nanoflow-LC preferable;
Experience in one or more therapeutic areas (CNS, immunology, oncology and CV/fibrosis) advantageous;
Proficient in the English, written and spoken. German and/or French would be an advantage.
Relevant working/residency permit or Swiss/EU-Citizenship required.
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drugs & therapeutic areas and are highly recognized internationally. They are also a leader in the field of manufacturing and selling of several drugs for the treatment of Cancer.
They are currently looking for a Senior Data Scientist - Real World Data for a contract with high chances of extension, to be based in Basel. If you have 3+ years of experience in Developing Protocols or Designing Observational and Non-interventional Studies, within a pharmaceutical environment and you would like to step in a key role in which to drive real world data generation at a global level, this is the right opportunity for you.
As a Senior Data Scientist you will work with meaningful data to generate impactful evidence and insights on our molecules/medicines and patients, support R&D, advance scientific and medical knowledge, and enable personalized patient care and access.
Main Responsibilities:
IDENTIFY EVIDENCE NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions.
DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
PRODUCE HIGH QUALITY ANALYSES: Apply rigor in study design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards.
INTERPRET AND SHARE RESULTS: Communicate findings to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; publish results.
Qualifications and Experience:
MSc or PhD in epidemiology, pharmacoepidemiology or biostatistics/public health (with focus on epidemiology/observational research);
Demonstrated track record of developing and executing epidemiological or outcome research projects, with publications and presentations;
Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges;
Demonstrated strong collaboration skills and excellent communication skills;
Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques;
Proficiency in English, both written and verbal;
Track record of effectively working in a matrix environment with global, international team members coming from scientific, business and operational backgrounds, using influence without authority;
Relevant working/residency permit or Swiss/EU-Citizenship required.
11/04/2019
Full time
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drugs & therapeutic areas and are highly recognized internationally. They are also a leader in the field of manufacturing and selling of several drugs for the treatment of Cancer.
They are currently looking for a Senior Data Scientist - Real World Data for a contract with high chances of extension, to be based in Basel. If you have 3+ years of experience in Developing Protocols or Designing Observational and Non-interventional Studies, within a pharmaceutical environment and you would like to step in a key role in which to drive real world data generation at a global level, this is the right opportunity for you.
As a Senior Data Scientist you will work with meaningful data to generate impactful evidence and insights on our molecules/medicines and patients, support R&D, advance scientific and medical knowledge, and enable personalized patient care and access.
Main Responsibilities:
IDENTIFY EVIDENCE NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions.
DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
PRODUCE HIGH QUALITY ANALYSES: Apply rigor in study design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards.
INTERPRET AND SHARE RESULTS: Communicate findings to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; publish results.
Qualifications and Experience:
MSc or PhD in epidemiology, pharmacoepidemiology or biostatistics/public health (with focus on epidemiology/observational research);
Demonstrated track record of developing and executing epidemiological or outcome research projects, with publications and presentations;
Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges;
Demonstrated strong collaboration skills and excellent communication skills;
Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques;
Proficiency in English, both written and verbal;
Track record of effectively working in a matrix environment with global, international team members coming from scientific, business and operational backgrounds, using influence without authority;
Relevant working/residency permit or Swiss/EU-Citizenship required.
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
11/04/2019
Full time
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
10/04/2019
Full time
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
Here at Celgene, we are seeking our next forward-thinking colleague – following a period of growth within Study Programs, we have an opportunity for a Data Scientist to work within our Medical Affairs group, focussing on Immunology & Inflammation.
Reporting into the Associate Director of Global Medical Affairs for this group, you are someone who can provide support to the Celgene Study Programs which have been coordinated by the Medical Affairs team – principally, the Celgene-sponsored non-interventional studies.
Leading the Data Management planning, you will have responsibility for study set-up and execution, as you work with both internal experts and our outsourced partners – this role is therefore ideal for those that have a proven track record (3+ years), as a Data Manager for a pharma / biotech or CRO organisation.
You will provide a key contribution in this function, performing a hybrid Data Manager / Research Scientist role – this is to ensure high quality and standardised data collection across the portfolio, which is validated in the clinical database in a timely manner and to a high standard.
As you partner with several departments in the company, you will have frequent contact with the affiliates across our WorldWide Markets – therefore, prior experience of working “above-country”, and across different cultures, is advantageous.
Splitting your day between meeting deadlines / managing priorities / multi-tasking, we offer you an environment which is well-matched to someone who can work with their own initiative whilst also being accountable to the team.
“A day in the life of” – your responsibilities will include :
1. Functional Proficiencies
Review protocols and support CRF development in collaboration with study teams
Demonstrate ability to analyze data, share trends/observations with team members and management around results and relevant metrics
Lead DM study start-up and maintenance activities - CRF design/edit check specifications/external vendor specifications, CRF completion guidelines, (CCGs), coding, etc
Lead Celgene team with User Acceptance Testing as applicable
Lead SAE reconciliation, data review and query management
Prepare or review the Data Management Plan and essential documentation
Adhere to data standards and proper data validation processes
Lead database lock or snapshot activities: inclusive of interim/final SAE reconciliation and interim/final data review
Lead/Participate in regular team meetings and provide input when appropriate
Core study team member and primary contact for data management
Prepare metrics and reports required to analyze the study performance
Provide input and assist in review/adherence to project timelines
2. Oversight of CRO and Vendors
Provide oversight of vendor activities to ensure quality and timely deliverables
Participate in CRO/external vendor selection
Review Statement of Work (SOW)/contracts and data transfer specifications and agreements
Provide CRO oversight of the data management functional activities and monitor progress and deliverables
Ensure training on Celgene SOPs, if applicable
3. Additional Activities
Participate in the initiatives and projects linked to the coordination and oversight of the Celgene Study Programs as needed
Participate in writing/reviewing of functional SOPs/Working Procedures/Guidance Documents
Ensure affiliates and departmental companion groups (Safety, PSRM, etc.) are consulted appropriately on study decisions
Train Medical Affairs colleagues on Celgene and data management standards and processes
Liaise with cross-functional teams to provide data management deliverables to health agencies
Contribute to continuous improvement on the responsibilities above and promote high quality standards and audit readiness
Your background comprises…
This role is ideal for an individual who has 3+ years’ experience as a lead Data Manager in a pharmaceutical / biopharma or CRO setting
It is also essential to have solid working knowledge of late phase and real-world research
You are someone who has strong working knowledge of EDC databases.
Additional knowledge of J-Review or other reporting tool and understanding of SDTM and CDISC.
It would also be great if you have knowledge of and interest in analytics and visualization (Tableau, Spotfire) techniques a plus.
Working within our Immunology & Inflammation franchise, intermediate knowledge of this therapeutic area would be great but is not essential
Knowledge of FDA/ICH guidelines and industry standard practices regarding data management
Your personality is…
This role is ideal for a self-starter, who is proactive and can work with a sense of urgency
Your ability to work independently would complement our existing culture
Plans and executes own area of responsibilities through predefined standards and objectives
Shows solid interpersonal skills and understanding of all project team functions to obtain necessary information from other project team members
Your skill-set includes…
We are seeking for applicants to possess a Master’s degree as minimum (possessing a PhD or PharmD would be hugely advantageous but not essential)
If you do have additional On-the-Job training, that is always preferred
For you to be proficient in Microsoft Office MS Word, Excel and PowerPoint.
Strong written and oral communication skills
Good organizational skills, ability to prioritize and multi-task and demonstrate flexibility and attention to detail
10/04/2019
Full time
Here at Celgene, we are seeking our next forward-thinking colleague – following a period of growth within Study Programs, we have an opportunity for a Data Scientist to work within our Medical Affairs group, focussing on Immunology & Inflammation.
Reporting into the Associate Director of Global Medical Affairs for this group, you are someone who can provide support to the Celgene Study Programs which have been coordinated by the Medical Affairs team – principally, the Celgene-sponsored non-interventional studies.
Leading the Data Management planning, you will have responsibility for study set-up and execution, as you work with both internal experts and our outsourced partners – this role is therefore ideal for those that have a proven track record (3+ years), as a Data Manager for a pharma / biotech or CRO organisation.
You will provide a key contribution in this function, performing a hybrid Data Manager / Research Scientist role – this is to ensure high quality and standardised data collection across the portfolio, which is validated in the clinical database in a timely manner and to a high standard.
As you partner with several departments in the company, you will have frequent contact with the affiliates across our WorldWide Markets – therefore, prior experience of working “above-country”, and across different cultures, is advantageous.
Splitting your day between meeting deadlines / managing priorities / multi-tasking, we offer you an environment which is well-matched to someone who can work with their own initiative whilst also being accountable to the team.
“A day in the life of” – your responsibilities will include :
1. Functional Proficiencies
Review protocols and support CRF development in collaboration with study teams
Demonstrate ability to analyze data, share trends/observations with team members and management around results and relevant metrics
Lead DM study start-up and maintenance activities - CRF design/edit check specifications/external vendor specifications, CRF completion guidelines, (CCGs), coding, etc
Lead Celgene team with User Acceptance Testing as applicable
Lead SAE reconciliation, data review and query management
Prepare or review the Data Management Plan and essential documentation
Adhere to data standards and proper data validation processes
Lead database lock or snapshot activities: inclusive of interim/final SAE reconciliation and interim/final data review
Lead/Participate in regular team meetings and provide input when appropriate
Core study team member and primary contact for data management
Prepare metrics and reports required to analyze the study performance
Provide input and assist in review/adherence to project timelines
2. Oversight of CRO and Vendors
Provide oversight of vendor activities to ensure quality and timely deliverables
Participate in CRO/external vendor selection
Review Statement of Work (SOW)/contracts and data transfer specifications and agreements
Provide CRO oversight of the data management functional activities and monitor progress and deliverables
Ensure training on Celgene SOPs, if applicable
3. Additional Activities
Participate in the initiatives and projects linked to the coordination and oversight of the Celgene Study Programs as needed
Participate in writing/reviewing of functional SOPs/Working Procedures/Guidance Documents
Ensure affiliates and departmental companion groups (Safety, PSRM, etc.) are consulted appropriately on study decisions
Train Medical Affairs colleagues on Celgene and data management standards and processes
Liaise with cross-functional teams to provide data management deliverables to health agencies
Contribute to continuous improvement on the responsibilities above and promote high quality standards and audit readiness
Your background comprises…
This role is ideal for an individual who has 3+ years’ experience as a lead Data Manager in a pharmaceutical / biopharma or CRO setting
It is also essential to have solid working knowledge of late phase and real-world research
You are someone who has strong working knowledge of EDC databases.
Additional knowledge of J-Review or other reporting tool and understanding of SDTM and CDISC.
It would also be great if you have knowledge of and interest in analytics and visualization (Tableau, Spotfire) techniques a plus.
Working within our Immunology & Inflammation franchise, intermediate knowledge of this therapeutic area would be great but is not essential
Knowledge of FDA/ICH guidelines and industry standard practices regarding data management
Your personality is…
This role is ideal for a self-starter, who is proactive and can work with a sense of urgency
Your ability to work independently would complement our existing culture
Plans and executes own area of responsibilities through predefined standards and objectives
Shows solid interpersonal skills and understanding of all project team functions to obtain necessary information from other project team members
Your skill-set includes…
We are seeking for applicants to possess a Master’s degree as minimum (possessing a PhD or PharmD would be hugely advantageous but not essential)
If you do have additional On-the-Job training, that is always preferred
For you to be proficient in Microsoft Office MS Word, Excel and PowerPoint.
Strong written and oral communication skills
Good organizational skills, ability to prioritize and multi-task and demonstrate flexibility and attention to detail
