Scientist I, Data Science

Sanofi•Cambridge, MA

28d•$84,000 - $121,333•Onsite

About The Position

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. The Target, Disease and Systems Biology (TDSB) function at Sanofi, part of Global Research, includes both in-silico and experimental scientists that are unified in their goal to accelerate science at every stage of the drug discovery pipeline in oncology, ophthalmology, immunology, inflammation, and neurodegenerative diseases. The Data Science and Artificial Intelligence lab in the Computational Biology cluster seeks a highly motivated data scientist to join in our efforts to streamline and enhance the drug discovery process. The successful candidate will have deep expertise in machine learning and statistical analysis, as well as the drive to assimilate new techniques and develop new methodologies to strengthen our capabilities. Excellent oral/written communication skills and the ability to work independently while maintaining a strong team player attitude are essential for success in this role. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Requirements

PhD in bioinformatics, computer science, computational biology, physics or another related quantitative field with 1-3 years of experience preferred in an academic environment or the private sector (biopharma preferably).
Develop and benchmark predictive algorithms to help generate actionable hypotheses.
Proficiency in analyzing and manipulating data with Python/R.
Ability to write clean, readable, and scalable code.

Nice To Haves

Strong interest in learning biology and liaising with scientists from multiple therapeutic areas to help define and address biological questions with computational approaches.
Understanding of basic biological concepts and ability to communicate with non-computational audience.
Experience with knowledge graphs, graph machine learning, and other AI/ML approaches
Excellent written and oral communication skills.
Excellent interpersonal skills and strong team player attitude.
Experience with MLOps (snowflake, huggingface, weight and biases)

Responsibilities

Develop innovative ML/AI computational approaches and adopt existing state-of-the-art ideas to streamline transition to early development, as well as facilitate both the discovery of novel targets and drug repositioning.
Contribute to the on-going programs with developed stack of tools/approaches and deliver customized study-specific analysis.
Therapeutic areas of interest: immunology, inflammation, neurodegeneration, oncology
Work closely with computational scientists and biologists in a highly collaborative environment.
Lead in silico projects in collaboration with scientific teams and champion projects at different stages of discovery and clinical development.
Contribute to publications, research and clinical/regulatory documentation.

Benefits

Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

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