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Position: RWD Data Scientist
Institution: F. Hoffmann-La Roche AG
Location: Switzerland, United Kingdom, United States
Duties: You will collaborate with peers within the function and across the organization to develop evidence generation strategies, identify evidence gaps and data sources, design and execute studies, implement a variety of analyses to address molecule and disease area questions, and develop advanced analytics algorithms and applications using real world data. The data will be varied in type -- patient-level clinical data, supplemented with deep patient data such as omics (e.g. genomics, proteomic), imaging, digital health, etc. Source data will be diverse - real-world data, including patient registries, electronic medical records, claims, biobanks, and clinical trials
Requirements: MSc in a quantitative data science discipline (e.g., statistics/biostatistics, epidemiology, health economics, computational biology, computer science); Extensive experience with study design and analysis of patient level observational healthcare data (e.g. claims, registries, EMR, genomics or imaging data, other real world data); Fluency in statistical programming languages (R, Python, etc.); Experience with working on relational/non-relational databases and technologies like SQL, Redshift, etc. using data engineering best practices to ensure data and code quality; Experience implementing reproducible research practices like version control (e.g., using Git) and literate programming
   
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Print Job facts As a SENIOR DATA SCIENTIST within our Product Development Data-Sciences function you will work with meaningful real-world data (RWD) to generate impactful evidence and insights on our molecules/ medicines and patients, that support R&D, advance scientific and medical knowledge, and enable personalized patient care and access.You will collaborate with peers within the function and across the organization to develop evidence generation strategies, identify evidence gaps and data sources, design and execute studies, implement a variety of analyses to address molecule and disease area questions, and develop advanced analytics algorithms and applications using real world data. The data will be varied in type -- patient-level clinical data, supplemented with deep patient data such as omics (e.g. genomics, proteomic), imaging, digital health, etc. Source data will be diverse -- real-world data, including patient registries, electronic medical records, claims, biobanks, and clinical trials. The evidence, insights and solutions will be used to inform the research and development of our molecules, and support healthcare decisions by patients, physicians, health authorities, payers, and policy-makers. You will also contribute to functional, cross- functional, enterprise-wide or external initiatives that shape our business and healthcare environments. This will require a good understanding of molecule and disease area strategies, as well as strong technical expertise in observational data, data science, software engineering, and machine learning. You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients.As a Senior Data Scientist you will typically be responsible for a molecule/indication and/or take on a variety of diverse projects as per your interests and needs of the RWD operating model (agile networked model supporting all stages of the drug lifecycle and ecosystem shaping activities) and partner with cross-functional teams and external partners with considerable independence.● IDENTIFY EVIDENCE NEEDS & IMPLEMENT DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and implement RWD studies and/or software/analytics solutions by leveraging expertise in observational data engineering and advanced analytics.● DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with and advance our proficiency/efficiency in understanding and using the data appropriately by implementing innovative software solutions● BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent statistical methodologies, epidemiology, 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 using data engineering best practices; 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; participate in external meetings and forums to present your insights (e.g. congress/conference).● COLLABORATE & SHAPE: Collaborate and contribute to functional, cross-functional, enterprise-wide or external data science communities, networks, collaboratives, initiatives or goals on knowledge-sharing, methodologies, innovations, technology, IT infrastructure, policy-shaping, processes, etc. to enable broader and more effective use of data and analytics to support business.Minimum Qualifications:● MSc in a quantitative data science discipline (e.g., statistics/ biostatistics, epidemiology, health economics, computational biology, computer science)● Extensive experience with study design and analysis of patient level observational healthcare data (e.g. claims, registries, EMR, genomics or imaging data, other real world data)● Fluency in statistical programming languages (R, Python, etc.)● Experience with working on relational/non-relational databases and technologies like SQL, Redshift, etc. using data engineering best practices to ensure data and code quality.● Experience implementing reproducible research practices like version control (e.g., using Git) and literate programming● 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, excellent communication skills and ability to work in cross-functional teams with multiple stakeholders● Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques● Demonstrated ability to deal pragmatically with complex & ambiguous situations● Ideal: experience as contributor to open source packages, libraries or functions● Proficiency in English, both written and verbal Job Level:Individual contributor 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 statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. Job facts Location United States of America, California, South San Francisco | Switzerland, Basel-City, Basel | United Kingdom, Hertfordshire, Welwyn Function Information Technology Subfunction Digitalisation / Data / Insights Schedule Full time Job level Individual contributor Job type Regular Division Roche Pharmaceuticals Posted since 2021/11/05 Job-ID 202111-131550 Get in touch Beth Kaufman You could also like these jobs Quality Data Strategist United States of America, California, South San Francisco Senior / Principal Data Scientist / Engineer United States of America, California, South San Francisco RWD Data Scientist United States of America, California, South San Francisco Apply now! 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