Senior Scientist I, Statistical Geneticist
- Driving genetic insights impacting all Sanofi therapeutic areas, from early discovery to clinical development
- Leading Sanofi's participation in top genetic consortia, including FinnGen and Open Targets
- Shaping the future of precision medicine through innovative genetic approaches
- Provide human genetic insight to support target discovery, target credentialing, indication selection and expansion, and patient stratification for Sanofi R&D programs in immunology, ophthalmology, neurology, oncology and in new emerging therapeutic areas.
- Implement and develop innovative statistical genetic methods to analyze population scale genetic cohorts across multiple biobanks and integrate genetic, epigenetic and multi-omics data for target, cell type, pathway, and indication prioritization.
- Lead strategic partnerships with top-tier academic institutions and consortia.
- Drive cross-functional initiatives that shape Sanofi's therapeutic strategy, including target discovery campaigns, indication positioning and expansion.
- Contribute to publications, research and clinical/regulatory documentation.
- Ph.D. in Human Genetics or related field with 3+ years of experience in biopharma or leading academic institutions.
- Demonstrated expertise in disease genetics, particularly in immunology, ophthalmology, or neurology.
- Advanced proficiency in statistical genetics, including: GWAS, QTL analysis, burden tests, Mendelian randomization, Colocalization analysis, Polygenic risk scores.
- Proven experience with complex Electronic Health Records (EHR) datasets and OMOP models - Desirable
- Track record of leading large cross-functional teams (10+ members).
- Demonstrated ability to thrive in fast-paced, agile environments
- Experience working in Trusted Research Environments (TREs) and cloud computing platforms (AWS, GCP).
- Strong publication record and ability to author high-impact scientific papers.
- Understanding of biological and medical concepts and ability to communicate with non-computational audience.
- Experience in AI applications in genomics or agentic AI.
- Knowledge of clinical trial design and patient stratification strategies.
- Experience with multi-model data integration (genetics, epigenetics, transcriptomics, single cell, proteomics).
- Experience in population scale proteomics.
- Experience developing scalable code and data infrastructure.
- Experience mentoring junior scientists and fostering team development.
- 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.
#LI-SA #vhd All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
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