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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

As member of the Business Analysis department within the Strategic Transformation organization, you will review data provider and stock exchange notices, analyze and document requirements to ensure the needs of stakeholders are met within product and project parameters. You ideally have experience with working in stakeholder/matrix-style management environment. Familiarity with stock exchange data feeds terminology is preferred but not obligatory but you must demonstrate an ability to work effectively within a global team as well as independently to proactively identify and resolve problems. Main duties Support the correct and consistent integration of financial data from multiple sources into our feed and display products; including real-time, intraday and end of day delivery of market and reference data Analyze the impact of required changes for our central host database as well as for client products and define the necessary adjustments for respective data structures and rule sets in order to meet client needs Identify business needs, analyze and conceptualize them, in order to allow better informed business decisions and to provide strong guidance for software development Execute user acceptance testing as well as the preparation of client information on changes Assist project management during project planning and delivery phase Your profile Bachelor's or higher education degree in Finance, Economics or Computer Science At least 2 years of working experience in financial services and as a business analyst, and a  robust knowledge of financial markets and securities instruments Knowledge of object-oriented / other programing language and familiarity with various file formats (e.g. UTF, ANSO) and file structures (e.g. XML, JSON) is a great plus Experience with agile development projects Analytical, technical, problem solving, and communication skills are a key strength Excellent written and verbal communication skills in English and German. French is a plus If you have any questions, please call Valeria Schmid +41 58 399 80 17. We only accept online direct applications.Valeria Schmid Human Resources +41 58 399 80 17 We strive for a diverse workforce and welcome all applicants regardless of personal background.

We are getting our hands on huge amounts of data while producing video. Efficient ways to parse the data and build a database suitable for training detection and behavioral analytics algorithms will be a fundamental part of future development. Responsibilities: Develop mechanisms to automatically store metadata out of the live footage and the camera operation from every Seervision robot camera (labeling in machine learning). Format footage and metadata for use in (un)supervised machine learning tasks. Develop software bridges between footage metadata and commercial video processing software. Potential: Take full control of the machine learning tasks and focus solely on R&D in close collaboration with ETH. Control over team hiring decisions. ​Advantages: 2+ year in machine learning, preferably with neural networks. Experience with video processing software (e.g. Adobe Premiere).

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.

Our product — the SPOUD Data Market — is redefining the way enterprises are able to access and integrate business data inside and share it between companies. Be the driving power that gets our crazy integration and analytics projects off the ground. We are passionate people with an urge to create, a maker nature, who are proud of things built, and have a love for everything growing and living. We are a family of pioneers, explorers and city-builders in the We are looking for a: There is huge diversity of work waiting for you in the area of software and data engineering, data science, and DevOps.You will work for our analytics and integration projects – come join our NATIV3 team ;) Your Role You will be a fundamental part of our software engineering NATIV3 team You will work in an interdisciplinary team together with data scientists, designers, engineers and business people You will participate in software architecture and design You see the entrepreneurial vision of SPOUD and align your doings accordingly You will apply machine learning algorithms to improve and optimise our client’s needs, capture meaningful insights from data and turn them into competitive advantages Communicate analyses to technical and business stakeholders internally and to the client You will drive the creation of analytical models to solve specific real-world problems Your Profile 2+ years of relevant experience in software development and the ability to write clean code Familiar with software design and architecture Know-how in state-of-the-art development frameworks, tools, and methods in your field of expertise You have data science knowledge (machine learning techniques and frameworks) Demonstrated track record in building predictive models on complex datasets You like to work in a start-up environment but also feel comfortable working with customers in the enterprise world Beneficial are experience with Python, Java, Go, docker and Rx We Offer A place where you can get happy if you like making a difference! A diversity of unsolved questions on the technological front and the freedom to solve them in your own way A team of experienced start-up enthusiasts who will help you get ahead and will also listen to you • A young, dynamic, and non-bureaucratic environment with a lot of flexibility An inspiring workplace with a fantastic team of creative people in the heart of Bern Nice To Have Time series forecasting, anomaly detection and unsupervised clustering algorithms Streaming technologies such as Kafka and Flink or a willingness to learn them Elasticsearch and working with unstructured data at scale Attention: This is not a regular job – this is a mission where you play an active role, help our customers build their data nirvana and on this path unfold your full potential. So save your seat on this fast-growing rocket ship and be at the Swiss forefront of Innovation in big data! We are looking forward to welcome you to our family (regular BBQs are a must!).

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.

Ihre Hauptaufgabe wird die Mitarbeit in Kundenprojekten unterschiedlicher Grösse, Fachgebiete und Komplexität im Bankenumfeld sein. Sie unterstützen Kunden als anerkannte/r Diskussionspartner/in bei der Erarbeitung von Business Analysen und Anforderungen und wirken zusätzlich mit bei der Weiterentwicklung der internen Prozesse. IHR PROFIL Studium in Wirtschaftsinformatik (ETH/Uni/FH), Betriebswirtschaft o. ä. Methodische Erfahrung im Bereich Requirement Analyse Erste Bankerfahrung (intern oder bei einem Consultingunternehmen) erwünscht  Viel Eigeninitiative und Selbständigkeit Hohe Kundenorientierung und sehr gutes Auftreten Hoher Anspruch an die Qualität der eigenen Arbeit Spass an innovativen Aufgaben und einem professionellen Team  Deutsch fliessend, Englisch mündlich und schriftlich gute Kenntnisse Unser Mandant bietet seinen neuen Mitarbeitenden ein hochprofessionelles Arbeitsumfeld, attraktive Arbeits- und Anstellungsbedingungen und beste Entwicklungsmöglichkeiten (z. B. in Richtung Projektleitung). Interessiert? Dann melden Sie sich umgehend bei Maya Hitz von NEXUS Personal- und Unternehmensberatung AG. Sie erhalten ein erstes Feedback in drei Arbeitstagen. Ihr Kontakt NEXUS Personal- & Unternehmensberatung AG.  Maya Hitz

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.

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

Our solutions for sequence data management, sequence analysis, NGS data processing and analytics are operated in scientific and lab-driven environments. Our team searches a strong collaborator with team experience, who is ready to work in the bioinformatics field facing the challenges and opportunities turning solutions and concepts into shippable products. We care as much about delivering functional and performant solutions as we do about ensuring a technically sound platform. We foster a collaborative environment through guidance and mentorship. We pride ourselves on building a supportive atmosphere where you will both learn and teach. This full time position is based at our headquarters in Basel, Switzerland. Key Responsibilities Work with an established quality-driven agile team using state of the art organizational means focused on delivering software products with regular schedules.  Work with React-based JavaScript frameworks including web application styling techniques for building state of the art web applications Shape the Java based middle-tier services providing data in efficient and elegant ways to the web clients Find algorithmic solutions for retrieving and manipulating large quantities of data (genome and sequence data) on the middle tier and present it for analytical assessment on the customer interface Maintain and extend a library of user interface components according to given specification and including automated tests and documentation Your Profile Essential Skills and Experiences: BSc, MSc, or Ph.D. in computer science, mathematics, bioinformatics, or related fields, or comparable on-the-job experience Qualified web developer with skills on the web-tier end user interface as well as the middle-tier service layer  Experience working on database-oriented, algorithmically demanding scientific applications in a three-tier architecture at the interface between biology and informatics  Domain expertise in JavaScript frameworks as well as Java based middle-tier architectures Working experience with DevOps tools and methodologies (Jira, Confluence, Subversion, Jenkins, React, Play, JPA/Hibernate, NodeJS/NPM, SQL, Scrum) Good written and verbal communication and presentation skills in English A keen interest in working in a life science related field The Company Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore. About the Genedata Selector Genedata Selector is an enterprise software platform that transforms raw sequencing data into solutions to optimize R&D and production processes for life science industries.  Automated and intuitive software combined with scientific consulting and professional services provides a full solution for increasing efficiency and reducing costs in cell line design and selection, microbial contamination detection, and strain, germplasm, and breeding optimization.

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

We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either. Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time. In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world.  Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story? Join our team as Computer Vision & Machine Learning Engineer: Your role... Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications Develop solutions for real world, large scale problems Your profile... MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field Algorithmic background and rock-solid problem solving skills Strong background in computer vision or machine learning Solid coding experience in system components and experience in various software engineering systems Passion for quality, performance and reliability Excellent teamwork and communication skills Ideally you will also have... Experience in deep learning & non linear optimization What we offer... An international, young and highly motivated team of start-up professionals A fast-paced, dynamic and innovative working environment The opportunity to strongly impact on the future of Advertima   An organizational model that distributes power across peers   A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG) Flexible vacation policy Self-development budget Monthly team brunch Competitive compensation Phantom stock options Ready for the mission? Don't keep us in suspense.

We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either. Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time. In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world.  Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story? Join our team as Computer Vision & Machine Learning Intern: Your role... Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications Develop solutions for real world, large scale problems Your profile... BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field Algorithmic background and rock-solid problem solving skills Background in computer vision or machine learning Solid coding experience in system components and experience in various software engineering systems Passion for quality, performance and reliability Excellent teamwork and communication skills Availability of at least 6 months, interest in a fixed position preferred Ideally you will also have... Experience in deep learning & non linear optimization What we offer... An international, young and highly motivated team of start-up professionals A fast-paced, dynamic and innovative working environment The opportunity to strongly impact on the future of Advertima & to be transferred to a fixed position after 6 months   An organizational model that distributes power across peers A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG) Flexible vacation policy Self-development budget Monthly team brunch Competitive compensation Phantom stock options 

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs. The Role A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer. The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.  Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit. Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical. Custom Demonstrations and Proofs-of-Concept:  Hands-on development using the Pentaho platform and related technologies. Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices. Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value. Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs. Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara. Required Experience  Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark). Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing. Hands-on Hadoop experience ETL, data warehousing, data engineering, data integration Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC Java programming BI Tools (e.g. Tableau, Qlik, MicroStrategy) Security systems (e.g. LDAP, SSO, Kerberos) Advanced analytics (e.g. R, Scala, Python, Weka, SAS) Operating systems (e.g. Linux, Windows, shell scripting), strong communication skills, fluent in German and English (written & spoken),  Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience). We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.