Director, Statistical Genetics

You will lead the analysis and interpretation of 1,000,000s of sequenced human samples, with a focus on immune and infectious diseases. You will use these analyses to guide Regeneron in its singular goal of delivering better medicines to the patients who need them.

To accomplish this, you will lead and mentor a small and highly performing team of statistical geneticists.  You will provide advice in the design, implementation and refinement of our genetic analyses tools and ensure that results are reviewed, interpreted and shared with key Regeneron stakeholders to facilitate optimum decision making across our target portfolio.

You will also play a key role in the analysis of omics data in population scale datasets, which is becoming an increasingly valuable supplement to our human genetics and health data.

A typical day in this role might feature:

• Demonstrated ability to build, organize and lead teams of investigators executing cutting edge genomic analyses, both within an institution and across institutions. Excellent collaborative skills are required, as you will be expected to work in partnership and collaboration with many diverse scientists.
• Expertise in the application and development of computational tools that enable modern genetic analyses and exploration and interpretation of their results. It is anticipated that our datasets will include 100,000,000s of genetic variants measured across 1,000,000s of individuals. You and your team will execute a variety of genetic association analyses as well as fine-mapping, polygenic risk scores, mendelian randomization, genetic correlation analyses and others.
• Expertise in human genetic analysis of genomic datasets that combine genomic scale phenotyping (such as RNA expression levels, proteomics, metabolomics, and others) with human genetic data (such as array or sequence data) on 10,000s or 100,000s of individuals.
• Expertise with genome scale analyses of human genetic data and their application to elucidate complex trait biology. Broad understanding of the challenges and opportunities at all stages of genetic association studies – ranging from design, quality control, association analysis, functional interpretation and follow-up experiments in cells and model organisms. An outstanding candidate will have demonstrated leadership in the use of sequence and genotype data to dissect complex human traits.
• Expertise with modern cloud environments is required. The candidate will routinely use advanced tools for genomic analyses, for statistical analyses and computation to execute analyses at scale and to facilitate effective annotation, sharing and collaboration.  An outstanding candidate will have overseen the design and implementation of tools that enable new genetic analyses or make them more accessible.
• Critically review and provide feedback on analyses plans, results and summaries to ensure they are accurate and reliable. Identify potential problems and propose remedies or refinements. Provide vision and leadership as we seek to identify and prioritize among opportunities for carrying out human genetics at scale.
• Outstanding communication skills and an ability to summarize and present the results of human genetic studies to a variety of technical audiences, ranging from experts in statistical genetics and computation to experts in biology, drug design and medicine.
• An interest in the biology of the human immune system and in related areas, including immuno-oncology. You will be expected to interact extensively with colleagues with biological and clinical knowledge in these areas.
• Ability to work in a highly interactive environment with a diverse team of colleagues. Ability to provide mentorship and guidance to more junior colleagues to help them develop their full potential and build new skills and abilities. The outstanding candidate will be able help teams of skilled individuals to consistently achieve high levels of motivation, enthusiasm and performance.

This role might be for you if:

• A PhD in human genetics or a related field, in addition to 5-10 years of experience executing cutting edge human genetics experiments.
• A track record of building, organizing and leading teams with diverse skills and focused on the analysis and interpretation of human genomic data. A record of mentoring and developing talent.
• Leadership in the development and refinement of methods for the analysis of human genetic data or in their application to new problems in a creative and insightful manner. Understanding of strategies and methods for genotype imputation, haplotyping, relationship inference and/or polygenic risk score estimation.
• Knowledge of genome wide analyses and approaches, including quality control options for genomic data, approaches for association analysis in the presence of relatednes