Pharmacogenomics Statistical Analyst

Tarrytown, NY, United States
Feb 08, 2019
Required Education
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.

This position is responsible for performing association studies using genetic and genomic data, ranging from small candidate gene studies to larger genome-wide association studies (GWAS) in the support of clinical development programs. This position is part of the pharmacogenomics group, responsible for developing and implementing genetic/genomic strategies across all phases of clinical development and working across several therapeutic areas. This position requires frequent interactions with clinical teams and global project teams across Regeneron.

This position is part of the pharmacogenomics group responsible for developing and implementing genetic/genomic strategies across all phases of clinical development and across several therapeutic areas. This position requires frequent interactions with biostatisticians, epidemiologists and clinical scientists to advise and plan statistical data analysis. This position also requires working in concert with other members of the Regeneron Genetics Center utilizing other large cohorts, datasets and analysis tools. The position will require significant cross-functional responsibilities, communicating results and findings to key internal stakeholders and external collaborators, so an ability to communicate very clearly is required.

Major activities:

• Design and conduct pharmacogenomic analysis studies: both candidate gene and genome-wide analysis

• Interface with clinical teams, research scientists, statisticians, and global project teams

• Provide statistical data interpretation and present data to internal stakeholders and project teams

• Publish key findings and attend conferences

• Strong background in biostatistics and/or statistical genetics

• Strong background in genetics and/or molecular biology preferable

• Previous experience performing genetic association studies required

• Proficient in scripting and programming in R, Perl/Python in a Linux environment

• Proficiency working with and manipulating large genomic data sets, familiarity with statistical software (e.g., Plink, BCFtools, SnpSift) for management/annotation/analysis of genomic datasets

• Experience working with Next-Generation Sequencing data preferable

• Broad scientific knowledge

• Experience in clinical development desirable

• Ability to work well in a team environment

• Excellent presentation and communication skills (essential)

Education and professional experience:
PhD in biostatistics, with a strong background in genetics
or a PhD in genetics/molecular biology with MS in biostatistics

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.