Physician Scientist, Neuroscience & Ophthalmology Genetics Full-time

Physician Scientist, Neuroscience and Ophthalmology Therapeutic Area Genetics

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Physician Scientist to join our Neuroscience and Ophthalmology Therapeutic Area Genetics (TAG) team within the Regeneron Genetics Center. In this role, you will translate human genetic evidence into actionable insights across neurological, psychiatric, ophthalmological, hearing-, and aging-related diseases, designing and interpreting large, complex genetic studies while collaborating with Genome Informatics, Analytical Genomics, Clinical Informatics, and other RGC teams.

This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

When & Where:

• Location: Tarrytown, NY
• Work model/flexibility: Hybrid

Discover Your Role:

• Apply human genetics to target discovery, indication selection, and identification of patient subgroups likely to respond to treatment
• Design, execute, and interpret genetics studies alongside human genetics scientists, bioinformaticians, and statistical geneticists
• Partner with Therapeutic Area Genetics colleagues and RGC teams to deliver complex, high-quality scientific work
• Generate, summarize, and present findings to internal and external audiences
• Lead or contribute to scientific reports and publications
• Represent the TAG team in cross-functional initiatives across RGC and Regeneron
• Collaborate with external industry and academic partners in scientific consortia

This Role Requires:

• MD or MD/PhD with a strong background in human genetics or genetic epidemiology
• Experience designing and leading human genetics studies that deliver medically relevant findings
• Knowledge of study designs and analyses such as GWAS, exome, or genome sequencing across cohort, case-control, or family-based studies
• Strong communication skills, with the ability to present complex genetic findings to varied audiences
• Familiarity with statistical genetics applications (e.g., polygenic risk scores, quantitative trait analyses, Mendelian randomization) and programming/statistical software (e.g., Python, R) preferred
• Experience integrating genetics with other “omics” technologies (e.g., epigenetics, proteomics, RNA-seq) preferred