Senior Principal Scientist/Principal Scientist, Real-World Evidence & Disease Genomics

Sanofi • Cambridge, MA

5d • $148,500 - $214,500 • Onsite

About The Position

Join Sanofi’s Target, Disease and Systems Biology (TDSB) team as a key contributor to the Disease Genetics and Genomics cluster. This role combines real-world evidence generation and disease genomics, using large-scale electronic health records (EHRs) and population biobanks to understand disease trajectories and evaluate indication expansion opportunities. You will collaborate with computational and experimental scientists and support drug discovery and development across Sanofi therapeutic areas, from early indication prioritization to business development evaluation of external assets.

The role applies EHR-based methods—including foundation models and classical statistical approaches—to generate real-world evidence at scale. It defines curated disease cohorts and progression endpoints for target trial emulation and genomic analyses, and supports Sanofi’s engagement with population biobanks such as FinnGen and All of Us. You will work in an agile environment with industry-leading data infrastructure and collaborate with disease area experts, medical teams, and therapeutic program leads to translate analysis into R&D impact.

Requirements

• Ph.D. in Biomedical Informatics, Epidemiology, Computational Biology, Human Genetics, or a related field.
• At least 4 years of post-Ph.D. experience; preferably in the biopharma or biotech industry.
• Excellent knowledge of and hands-on experience working with longitudinal EHR datasets and OMOP common data models.
• Knowledge of target trial emulation methods and causal inference frameworks applied to observational data.
• Familiarity with GWAS methodology and population-scale genomic analyses.
• Good knowledge of diseases and medical practices, with the ability to engage meaningfully with clinical and disease area experts.
• Strong coding skills and demonstrated experience using AI-assisted coding tools such as Cursor or Claude Code to accelerate scientific workflows.
• Excellent communication skills, including the ability to present complex analytical findings to scientific and non-scientific stakeholders and influence strategic decisions.
• Enthusiasm for working in an agile, fast-paced team environment where priorities evolve rapidly.
• Impact-oriented mindset and strong drive to translate scientific work into R&D decisions.

Nice To Haves

• Experience working with large biobank platforms such as FinnGen, UK Biobank, or All of Us.
• Experience working in Trusted Research Environments (TREs) or cloud computing platforms such as AWS or GCP.
• Ability to develop scalable, reproducible analytical pipelines for large-scale data processing.
• Experience collaborating across cross-functional teams, including clinical development, translational medicine, and business development.
• Experience with agentic AI frameworks and their application to biomedical data analysis or workflow automation.

Responsibilities

• Lead indication prioritization and expansion for Sanofi R&D and external assets by generating target trial emulations from large-scale EHR datasets and biobanks, and provide strategic guidance to therapeutic program teams.
• Develop and implement methods for analyzing longitudinal medical records, including classical statistical models and EHR foundation models, to evaluate drug effects on disease trajectories using target trial emulation frameworks.
• Define and champion well-curated EHR disease cohorts and disease progression endpoints in coordination with disease area and medical expert teams.
• Conduct genome-wide association studies (GWAS) in curated patient cohorts to identify genetic drivers of disease and therapeutic response.
• Apply and scale methods across population biobanks, including FinnGen and All of Us, to generate robust, reproducible evidence supporting Sanofi’s R&D pipeline.

Benefits

• Health and wellbeing benefits, including high-quality healthcare, prevention, and wellness programs.
• At least 14 weeks of gender-neutral parental leave.
• Thoughtful rewards package; additional employee benefit program information is available from the company.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree