Executive Director Statistical Genetics

Role Summary

The Executive Director will lead the development and evaluation of predictive models for disease, health and wellness using genomic and health data collected across millions of samples. This role guides disease predictions across early research targets, clinical studies, and health outcomes, and requires leading a team of statistical geneticists to design, implement, and refine genetic analyses tools while communicating results to Regeneron stakeholders.

Responsibilities

• Lead and mentor a small, high-performing team of statistical geneticists; advise on design, implementation, and refinement of genetic analyses tools; ensure results are reviewed, interpreted, and shared with stakeholders to inform decision making.
• Shape ongoing statistical analyses of population-scale datasets essential to target discovery and evaluation.
• Demonstrate ability to build, organize, and lead teams executing cutting-edge genomic analyses; collaborate with diverse scientists.
• Develop and apply computational tools for modern genetic analyses; handle large datasets including health records, millions of variants, and numerous omics measurements.
• Construct, evaluate, validate, and demonstrate the value of health-related predictions derived from large datasets; identify settings to improve target identification, trial design, and health outcomes.
• Apply expertise in genomic datasets combining phenotyping with genetic data across tens to hundreds of thousands of individuals.
• Navigate genome-scale analyses to elucidate complex trait biology; lead in design, quality control, association analysis, interpretation, and follow-up experiments; drive innovation in methods and data use.
• Operate in modern cloud environments; design and implement tools enabling new genetic analyses and wider accessibility; ensure collaboration and annotation sharing.
• Critically review analyses plans, results, and summaries for accuracy; identify issues and propose remedies; provide vision for scaling human genetics analyses.
• Communicate results effectively to technical and non-technical audiences, including biology, drug design, and medicine experts.
• Mentor junior colleagues and foster a collaborative, motivated team environment.

Qualifications

• PhD in human genetics or related field with 10‚Äì15 years of relevant experience; proven track record leading diverse teams focused on human genomic data analysis.
• Leadership in developing and refining methods for human genetic data analysis; knowledge of genotype imputation, haplotyping, relationship inference, and polygenic risk scores.
• Experience bringing products to market or working with regulators is a plus.

Skills

• Advanced expertise in computational genetic analyses; experience with large-scale genomic and health-record data; ability to build and interpret complex models.
• Strong communication skills; ability to present complex results to diverse audiences.
• Proficiency with modern cloud computing environments and scalable analytics tools.

Education

• PhD in human genetics or related field required.