Statistical Genetics Analyst

Tarrytown, NY, United States
Sep 04, 2019
Science/R&D, Genetics
Required Education
Masters Degree/MBA
Position Type
Full time
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.

Contribute to the analysis and interpretation of 100,000s of genotyped and sequenced humans, with the goal of generating the knowledge that will enable Regeneron to deliver better medicines to the patients who need them. Work collaboratively with other experts in genomic data analysis, biology, computation and medicine to design, execute and refine analyses that connect genetic variation to human diseases and health and to develop the methods and tools that will enable these analyses to be executed and interpreted at scale. Continually learn and acquire skills that are essential for a productive career at the intersection of human genetics, biology, health and drug development.


• The candidate should have a familiarity with analytical approaches and challenges in modern human genetics and genomics or with statistical computing in another data-rich field.

• Knowledge of modern human genetics and genomics could be demonstrated by understanding of genomewide association and sequencing studies, techniques for modeling population structure and individual ancestry, mendelian randomization and/or analysis of polygenic risk scores.

• Knowledge of modern statistical computing could be demonstrated by understanding of generalized linear mixed models, techniques for Bayesian computing and Monte Carlo analyses, understanding of machine learning and survival analysis, and methods and tools for data visualization.

• Expertise with computing at scale is highly desirable. Expertise working with commercial clouds or cluster environments, knowledge of modern programming languages such as Javascript, Python, C/C++ or scala. The ideal candidate will also be familiar with one more of the standard tools for genomic analyses (PLINK, SAIGE, samtools, Minimac, GATK, etc.)

• Outstanding communication skills and an ability to summarize and present the results of statistical and computational analyses to a variety of audiences.

• Ability to provide and incorporate feedback on analysis plans, results and summaries. Work iteratively in a team environment to define best practices and productive analysis strategies, execution plans, and summaries. Identify potential problems and propose remedies or refinements.

• Ability to work in a highly interactive environment with a diverse team of colleagues.

• Candidate must have either:

A) Strong knowledge of genomewide analyses and approaches, including quality control options for genomic data, approaches for association analysis in the presence of relatedness or population structure, and approaches for burden based analyses. Experience with multiple tools for large scale genetic analyses (e.g. PLINK, EPACTS, SAIGE, minimac, METAL/RAREMETAL, etc.).

B) Strong knowledge of statistical computing, including deep familiarity with research tools such as R and/or scala, familiarity with generalized linear models, Bayesian analyses, Markov Chain Monte Carlo methods, machine learning and data visualization. Experience with the R environment for statistical computing and with one or more modern programming language (Python, C/C++, Javascript).

• Ability to summarize and distil results concisely. Excellent oral presentation and writing skills. Demonstrated experience with scientific writing is also highly desired.

• Expertise in developing analysis packages and tools is highly desired, as demonstrated by contributions to analytical packages and tools available on GitHub or elsewhere.

• Commitment to continual learning and development of skills in statistical computing and modern human genetics.

• MS in Biostatistics, Computer Science, Bioinformatics, Human Genetics or related field + 2-4 + years minimum experience.

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.