1+ months

Real World Data (Senior/Principal) Scientist Affiliate Partnerships

Welwyn, England
  • Jobs Rated

As a Real World Data (Senior/Principal) Data Scientist within our Personalized Health Care (PHC) function you will provide technical expertise to affiliates on areas such as scientific advice, knowledge exchange, trainings, local engagements, regulatory and HTA PHC/RWD policy strategy, PHC Strategy market development. Through your role you will support R&D, advance scientific and medical knowledge, and enable personalized patient care and access across Roche. You will collaborate with peers within the function and across the whole organization (e.g. Medical Affairs, Market Access, Policy, Regulatory Affairs, Global Product Strategy and Affiliates). Your research may be used in reimbursement dossiers, regulatory filings, publications and others.

You will 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, healthcare environments, as well as strong scientific and technical expertise in observational research. You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics at an affiliate and global level to develop and deliver medicines for our patients.


  • 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. Be able to balance global and local country data requirements.
  • DIVE INTO DATA & ASSESS EXTERNAL CAPABILITIES: Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately. Collaborate with internal partners in due-diligence to assess external capabilities in data, analytics, technology, etc. of strategic business fit to the business.
  • DEVELOP DATA STRATEGY & GAIN ACCESS TO DATA: Develop strategic plans to access fit-for-purpose data sources to support evidence generation with internal/external partners, and gain access to data through collaboration or data generation, to support research and development of our molecules and enable personalized patient care and access.
  • SHAPE INTERNAL & EXTERNAL ENVIRONMENT: Lead or contribute significantly to functional, cross-functional, enterprise-wide or external data science communities, networks, collaborations, initiatives or goals on knowledge-sharing, methodologies, innovations, technology, IT infrastructure, policy-shaping, etc. to enable broader and more effective use of data and analytics to support business. 
  • DRIVE HIGH QUALITY ANALYSES: Ensure through strong collaborations with affiliates: rigor in RWD 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.
  • INTERPRET AND SHARE RESULTS: Clearly communicate RWD strategies 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).


  • MSc, PhD, MD or similar qualification in a quantitative data science discipline (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, computational biology, computer science, mathematics, outcomes research, public health, biology, medicine, psychology)
  • Significant amount of relevant work experience
  • Demonstrated track record of developing and executing epidemiological or outcomes research projects, with publications and presentations
  • Demonstrated track record of patient-level data analyses (e.g., real world data, surveys, clinical trials, registries, claims, omics or imaging data)
  • 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
  • Proven ability for using real world evidence for decision-making for R&D, regulatory and/or health care systems
  • Excellent communication skills. Proven ability to translate and communicate complex ideas, concepts, and data science solutions to diverse audiences
  • Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques and successfully implement new strategies and ideas
  • 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
  • Demonstrated understanding of affiliate business drivers
  • Proficiency in English, both written and verbal
  • Broad therapeutic experience including Oncology is preferred


Global travel will be expected as part of this job ~10-20%

Jobs Rated Reports for Data Scientist

Posted: 2018-12-20 Expires: 2019-03-21

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Real World Data (Senior/Principal) Scientist Affiliate Partnerships

Welwyn, England

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

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