Data Scientist, PHC Analytics

Switzerland, Basel-City, Basel Headquarter

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• Job facts

As a data scientist within our Personalized Health Care function specialising in supporting Roche country level teams (affiliates), you will work with stakeholders throughout the global organisation to use meaningful data 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 affiliates located around the world to develop evidence generation strategies, identify evidence gaps and data sources, design and execute studies, and implement analyses to address molecule and disease area questions. Source data will be diverse -- real-world data, including patient registries, electronic medical records, claims, biobanks, and clinical trials. The evidence and insights 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. This will require a deep understanding of molecule and disease area strategies, healthcare environments, as well as strong scientific and technical data science expertise. You will need strong strategic, collaboration and communication skills, as well as a visionary mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients.

As Data Scientist you will typically be responsible for a molecule/indication and partner with cross-functional teams and external organizations with considerable independence.

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.


• Develop data strategy & gain access to data: Develop strategic plans to access fit-for-purpose data sources to support evidence generation, and gain access to data through collaboration or data generation.


• Dive into data: 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.


• 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; participate in external meetings and forums to present your insights (e.g. congress/conference).


• Collaborate & craft: 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.

Please, note that depending on your experience and qualifications, we may offer one of these titles: Associate Data Scientist, Data Scientist, Senior Data Scientist or Principle Data Scientist.

Minimum Qualifications:

• MSc, PhD or similar qualification in a quantitative data science discipline (e.g., statistics/ biostatistics, epidemiology, health economics, outcomes research, public health)


• Proven track record of developing and execution of data science research projects, patient-level data analyses (e.g., real world data, surveys, clinical trials, registries, claims) 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

Preferred/Additional Qualifications:

• PhD degree in a quantitative discipline as listed in Minimum Qualifications


• Fluency in statistical programming languages (R,Python, etc.)


• Experience implementing advanced analytics approaches (machine learning, longitudinal data analysis, etc.)


• Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.)


• Experience producing interactive outputs (Shiny, etc.)


• Contributor to open source packages, libraries or functions


• Experience implementing reproducible research practices like version control (e.g., using Git) and literate programming

Roche is an equal opportunity employer.

• Who we areAt Roche, 94,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
  
  Roche is an equal opportunity employer.


• Job facts
  
  
  
  • Location Switzerland, Basel-City, Basel Headquarter
  
  
  • Function Research & Development
  
  
  • Subfunction Clinical Development
  
  
  • Schedule Full time
  
  
  • Job level Individual contributor
  
  
  • Job type Regular
  
  
  • Division Roche Pharmaceuticals
  
  
  • Posted since 2018/09/18
  
  
  • Job-ID 201807-114791
  
  


• Get in touchDr. Ignacio Fernandez Garcia


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