Head, Analytical Genetics

Tarrytown, New York
Mar 20, 2018
Required Education
Position Type
Full time
Position Summary

The Regeneron Genetics Center (RGC) is a wholly-owned subsidiary of the Company, whose goals are to apply large scale human genetics to identify new drug targets and to guide the development of therapeutics programs and precision medicine. Building upon Regeneron's strengths in mouse genetics and genetics-driven drug discovery and development, the RGC specializes in ultra-high-throughput exome sequencing, large scale informatics and data analysis encompassing genomics and electronic health records, and translating genetic discoveries into new biology and drug discovery opportunities. The RGC leverages multiple approaches including large population based studies, Mendelian genetics and family based studies, founder population genetics, and large-scale disease focused projects and has developed a network of over 50 collaborations with research organizations around the world. Including some of the largest sequencing studies in the world, such as the DiscovEHR study in collaboration with Geisinger Health System, and an initiative to sequence 500,000 participants with the UK Biobank, the RGC has built one of the largest human genetics databases, including sequence data from over several hundred thousand participants and rapidly growing. Our interests encompass a breadth of different areas across all therapeutic areas and the RGC is highly integrated into all facets of research and development at Regeneron. Program goals include target discovery, indication discovery, and patient-disease stratification. Objectives include advancing basic science around the world through public sharing of discoveries, providing clinically-valuable insights to physicians and providers of collaborating health-care systems, improving patient outcomes, and identifying novel targets for drug development.


The Head of Analytical Genetics (AG) will be a member of the leadership team at the Regeneron Genetics Center (RGC) whose goals are the application of large scale human genetics to identify new drug targets, to guide the development of therapeutics programs, and to identify genetic predictors of response to therapeutics. Primary responsibilities will include leading and conducting statistical genetics analyses in support of these goals and novel genetic association discovery; these efforts are in partnership with and in support of RGC's Therapeutic Area Genetics (TAG) teams to help design studies, conduct analyses for novel association discovery and translational follow up. Responsibilities will cut across all therapeutic areas at Regeneron (cardiovascular, metabolism, musculoskeletal, immune, infectious disease, neuroscience, ophthalmology, etc) and involve multiple study designs and analytical approaches (i.e. EHR-linked and large epidemiology studies, population based quantitative and binary trait association testing, linkage and family based association analyses, founder and consanguineous populations, etc). In addition, Analytical Genetics works closely and extensively with RGC's Genome Informatics, Clinical Informatics, and large scale data mining efforts in the definition, configuration, and maintenance of analytical pipelines, tools, and browsers for generating and viewing genetic association results. These include large scale association testing across tens of millions of variants and thousands of phenotypes (i.e. automated computation of association analyses at large scale) for broad use across Regeneron, as well as the development of tools and automated analytical workflows to support in depth and custom genetic epidemiology analyses (i.e. custom case/control definitions, covariates, variant/gene burden, etc). Responsibilities include the development of new methods for a host of analytical applications across large-scale sequence datasets, as well as continued improvement and tuning of conventional analytical approaches (supported by RGC developers and programmers) to deliver million-sample-scale high-throughput analyses. The Head will lead a large team and continue to build and grow the function to meet the expanding scope and goals of the RGC and Regeneron R&D more broadly. The position will require extensive coordination and collaboration with other functional area heads within the RGC, research and clinical development scientists at Regeneron, and external collaborators.

• Partner with Therapeutic Area Genetics teams to support selection of new projects, study design, and analysis, taking into account study aims, statistical genetics considerations (i.e. power, relatedness, population structure, replication/validation, etc.), and required results output/deliverables.
• Support analyses across all therapeutic focus areas at Regeneron and covering targets and development programs across various stages of discovery and development. Data and results will be included in target nomination packages, regulatory submissions, and other internal reports.
• Design and conduct analyses across a wide spectrum of approaches: EHR linked biobanks, large epidemiology studies, disease specific cohorts, and family based studies. Design and conduct analysis leveraging multiple statistical testing modalities (i.e. linear regression, logistic regression, linear mixed models, multivariate analyses, conditional analyses, genetic risk scores, stratified analyses, etc).
• Development of large scale association results (i.e. single variant and gene burden tests across all phenotypes) across multiple RGC datasets. Development and maintenance of analytical pipelines for large scale association testing and “deep-dive” target focused and exome/genome-wide association analyses. With RGC developer and programmer support, guide the development of analytical tools and browsers/UIs.
• Population genetics analyses in support of gene discovery initiatives in founder and consanguineous populations.
• Development/implementation of analytical methods to address current and future analytical challenges (e.g. matching case only cohorts with matched sequenced controls, accounting for relatedness in large datasets, integrated analysis (i.e. mega-analysis) of data sets generated using heterogeneous sequencing technologies and workflows etc).
• Communicate and report findings to colleagues, senior management, and external collaborators.
• Manage and grow an analytical genetics team consisting of statistical geneticists, population geneticists, bioinformaticians, analysts, and other required staff. Hire, train, and develop talent and leaders within the Analytical Genetics team.
• Develop department goals, as well as team and individual development goals. Contribute to the development of RGC goals, culture, and strategy.

• PhD in statistical genetics or genetic epidemiology (or related field) with at least 5-10 years of experience in human genetics research and large scale genetic association analyses involving exome or genome sequence data; strong analytical genetics background required.
• Minimum of 8 years of managerial experience and providing scientific and strategic leadership to a mid- to large-sized team in a collaborative research organization.
• Involvement in and use of large scale WES/WGS data sets such as TOPMed, GO-ESP, CHARGE consortium, or others.
• Expertise in statistical genetics, including proficiency in tools and methods for analysis of next generation sequencing data. Absolute requirement for extensive experience and proficiency with rare variant association analyses and analysis of large scale NGS (exome/genome) datasets.
• Experience with a breadth of study designs and analytical approaches spanning family based studies, population based studies, case-control studies, burden tests and collapsing methods, polygenic scores, multivariate analyses, conditional analyses, interaction tests, stratified analyses, and more.
• Proficiency with various variant annotation and filtering tools for predicting deleterious or LOF mutations and ranking putative causal variants.
• Experience with multiple genetics platforms and datasets (arrays, WES & WGS, imputation, etc) as well as other genomic profiling technologies (microarrays, RNASeq, etc) and integrating such datasets to strengthen evidence for associations. Experience in cancer genomics and related analyses would be valued, but is not a requirement.

This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron's unwavering commitment to combining good science & good business.

To all agencies: Please, no phone calls or emails to any employee of Regeneron about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron via-email, the internet or in any form and/or method will be deemed the sole property of Regeneron, unless such search firms/employment agencies were engaged by Regeneron for this position and a valid agreement with Regeneron is in place. In the event a candidate who was submitted outside of the Regeneron agency engagement process is hired, no fee or payment of any kind will be paid.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Requisition Number: 10650BR