Senior Principal Scientist, Real-World Evidence & Genomics

BioSpace; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Sanofi in Cambridge, MA is seeking a Senior Principal Scientist/Principal Scientist for Real-World Evidence & Disease Genomics. You will leverage large-scale EHRs and biobanks to inform disease trajectories and indication expansion across R&D from prioritization to external asset evaluation.

The role focuses on developing EHR-based methods, curated cohorts, and population-wide genomic analyses, collaborating with clinical and program leads to translate insights into R&D decisions.

Qualifications

• Ph.D. in a biomedical informatics or related field with 4+ years post-PhD experience.
• Experience with longitudinal EHR data and OMOP CDM.
• Knowledge of target trial emulation and causal inference.
• Familiarity with population biobanks (FinnGen, All of Us) and GWAS.

Responsibilities

• Lead indication prioritization and expansion using target trial emulation from EHRs and biobanks.
• Develop and implement longitudinal data analysis methods to assess drug effects on disease trajectories.
• Define curated disease cohorts and progression endpoints using EHRs.
• Conduct GWAS in curated cohorts to identify genetic drivers of disease and drug response.
• Scale methods across FinnGen, All of Us for robust, reproducible evidence.

Education

Ph.D. in Biomedical Informatics, Epidemiology, Computational Biology or Human Genetics

Tools

OMOP CDM

Target trial emulation

GWAS methods

FinnGen / All of Us biobanks

EHR datasets

Job description

Sanofi in Cambridge, MA is seeking a Senior Principal Scientist/Principal Scientist for Real-World Evidence & Disease Genomics. You will leverage large-scale EHRs and biobanks to inform disease trajectories and indication expansion across R&D from prioritization to external asset evaluation.

The role focuses on developing EHR-based methods, curated cohorts, and population-wide genomic analyses, collaborating with clinical and program leads to translate insights into R&D decisions.