Genentech Inc.

Genentech, Inc., is a biotechnology corporation which became a subsidiary of Roche in 2009. The company was founded in 1976 by venture capitalist Robert A Swanson and biochemist Herbert Boyer. Genentech Research and Early Development operates as an independent center within Roche. As of September 2016, Genentech employed 14,815 people. 

Genentech Inc. Basel, Switzerland
18/05/2018
Full time
JOB FUNCTION: Biometrics LOCATION : Basel  COMPANY/DIVISION : Pharmaceuticals ADDITIONAL LOCATIONS : South San Francisco, California, United States of America. Welwyn Hertfordshire, United Kingdom Rapid technological advances (e.g. next generation sequencing technology, electronic medical records) are resulting in a dramatic increase in the volume and diversity of scientific data (clinical, RWD, genomics) that is being generated both internally and externally.  This data is key to understanding disease subtypes, and drug response of patients within certain molecular subgroups, allowing us to develop new medicines and companion diagnostic tests more effectively and efficiently.  The Enhanced Data and Insights Sharing (EDIS) initiative is a key enabler of PHC 2.0, accelerating learning and insights generation across Research and Development. A key capability which we have identified as being critical to the success of EDIS is the integration and sharing of biomedical patient data across the organization. This capability requires the creation of a new Data Integrator role within Pharma Development Biometrics. Data Integrators are skilled data scientists who are able to both understand and manipulate highly complex clinical and high dimensional biomarker data sets (e.g., genotyping and gene expression data) in order to create analysis ready merged datasets as needed from a variety of data types (e.g. clinical trials, molecules or indications). The Data Integration Specialist is responsible for leading and executing data integration solutions in support of multiple programs within a disease area and across disease area projects. The main responsibilities will include: Lead, design, develop, execute and deliver the optimal high quality data integration  solutions needed for clinical trial and biomarker data exploration to support successful strategic decision making for clinical development pipeline and better understanding of disease and drug response Understand and meet partners’ data integration needs and offer solutions Build and maintain strong collaborative relationships and effective partnerships with project teams as well as other communities, working groups, initiatives and external stakeholders, in close collaboration with molecule project teams and any other relevant technical groups and identify and prepare integrated data for analysis by quantitative scientists Create, maintain and deliver a concise description of data preparation to partners and stakeholders as appropriate In close collaboration with Data Curators , ensure that integrated analysis datasets are readily and broadly made available Proactively raise ideas, develop fit to purpose prototypes, identify opportunities or gaps and promote knowledge sharings to enhance ways of working (including processes, methods, technology, project management, stakeholder management etc.) to support the vision for promoting advanced data integration solutions required for better data exploration and insight generation in relevant analytical groups The minimum requirements are: Knowledge of drug development (e.g. clinical development, Personalized Health Care) and clinical data models (SDTM, ADaM) Curiosity and interest in the scientific aspects of drug development projects and advanced technology in data integration, analytics and visualization Able to build strong working relationships with appropriate personnel in other functional groups within and outside of the Biometrics organization as well as strong problem solving skills and attention to detail Demonstrated ability to rapidly adapt to changing project and strategic requirements with a proven ability to understand and become familiar with therapeutic and diverse disease areas, ability to work in unstructured and ambiguous situations BSc. or M.Sc. or experience (no Phd)  in Data Science or computational biology related field (e.g. Statistical Programming, Statistics, Bioinformatics) Programming experience to manipulate complex data sets, for example with SAS, R and/or other analytical software packages Experience with using SQL and relational databases Good knowledge of English in a business environment Working location: Basel, San Francisco or Welwyn (UK) Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our   Genentech Careers page .