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Associate Director, Statistical Genetics

Employer
Regeneron Pharmaceuticals, Inc.
Location
Tarrytown, NY, United States
Start date
Mar 22, 2019

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Discipline
Science/R&D, Genetics
Required Education
Doctorate/PHD/MD
Position Type
Full time
Hotbed
Pharm Country, Best Places to Work

Job Details

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.

Summary
Help lead and drive projects on 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 teams that combine expertise in genomics, biology, computation and medicine to design, execute and refine analyses that connect genetic variation to human diseases and health. Take the lead on special projects to develop and implement statistical methods and tools that will enable these analyses to be executed and interpreted at scale.

Responsibilities

• Take a leading role on special projects involving genome scale analyses of human genetic data and their application to elucidate complex trait biology.

• Contribute to teams of investigators executing cutting edge genomic analyses, both within an institution and across institutions.

• Build data science solutions at the interface of statistical genetics and clinical care and/or direct-to-consumer genetics.

• Develop and apply cutting edge statistical methods and deploy them at scale to answer biological and population genetics questions. The successful candidate will use design and implement novel solutions to problems in the areas of statistical and population genetics that cover all the areas of interest of the RGC.

• Implement solutions using modern cluster and cloud computing 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.

• 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.

• 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.

• Work in a highly interactive environment with a diverse team of colleagues. 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.

Requirements

• A strong track record in development of statistical and population genetics methods and approaches in a creative and insightful manner, and experience of applied analyses of human genetic data at scale.

• Broad understanding of the challenges and opportunities at all stages of genetic association and population genetic studies - ranging from design, quality control, association analysis, phasing, imputation, polygenic risk scores, heritability, population structure, functional interpretation, data visualization, and follow-up experiments in cells and model organisms. An outstanding candidate will have demonstrated leadership in the use of whole genome sequence and genotype to dissect complex human traits and understanding of genetic ancestry.

• 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.

• Expertise with the organization of large scale multi-site experiments and in the design and execution of large scale genotyping and sequencing experiments.

• Knowledge and experience of data science applications in a health data or direct-to-consumer genetics setting. Familiarity with file formats and protocols for data integration and data manipulation.

• Ability to summarize and distil results concisely. Excellent oral presentation and writing skills.

• Experience with multiple tools for large scale genetic analyses (e.g. PLINK, EPACTS, SAIGE, minimac, METAL/RAREMETAL, IMPUTE, SNPTEST) and/or with R environment for statistical computing and with one or more modern programming language (Python, C/C++, Javascript) is a plus.

• Expertise in developing analysis packages and tools is highly desired, as demonstrated by leadership or contributor roles to statistical packages available on GitHub or elsewhere.

• Minimum Years of Experience: 10+ years of experience post PhD expected.

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.

Company

Regeneron is a leading biotechnology company that invents life-transforming medicines for people with serious diseases. Founded and led for 30 years by physician-scientists, our unique ability to repeatedly and consistently translate science into medicine has led to seven FDA-approved treatments and numerous product candidates in development, all of which were homegrown in our laboratories. Our medicines and pipeline are designed to help patients with eye disease, allergic and inflammatory diseases, cancer, cardiovascular and metabolic diseases, infectious diseases, pain and rare diseases.
 
Regeneron is accelerating and improving the traditional drug development process through our proprietary VelociSuite® technologies, such as VelocImmune® which produces optimized fully-human antibodies, and ambitious research initiatives such as the Regeneron Genetics Center, which is conducting one of the largest genetics sequencing efforts in the world.

Stock Symbol: REGN

Stock Exchange: NASDAQ

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Company info
Website
Phone
914-847-7000
Location
Corporate Headquarters
777 Old Saw Mill River Road
Tarrytown
New York
10591
United States

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