We are looking for a statistical geneticist to excited to build tools, workflows, and applications to analyze and interpret the genetics of nearly 3 million individuals linked with rich phenotype data from around the world. You will build and maintain a suite of tools to manage, execute, and assess genome-wide analyses leading to new discoveries and insights into disease mechanisms. Within the broad domain of cardiovascular, metabolic, and skeletal diseases, you will work collaboratively with other specialists in genomic data analysis, translational genetics, functional biology, and medicine, to enable Regeneron to create better medicines for patients in need.

A typical day might include the following:

• Perform genome-scale analyses with genotype, imputed, and sequence data from millions of individuals across hundreds of relevant phenotypes and biomarkers.

• Work across teams to build, maintain, and improve analytical workflows that implement analytical best practices.

• Build and manage systems to execute genomic analysis on a large scale and at high throughput. This including tools for analysis tracking and post-analysis quality control.

• Employ your expertise in genetic analysis to identify and troubleshoot analyses at scale.

• Test and integrate computational tools for deployment across our collection of diverse quantitative, health outcomes, and molecular data types.

• Critically review and provide input on analysis plans, results, and summaries to ensure accuracy and reliability. Identify problems and propose solutions or analytical refinements.

This role might be for you if you:

• Have experience in the analysis of large genetic association studies and meta-analysis, including through the analysis of UK Biobank or other biobank-scale data.

• Have experience in the management of genetic and phenotype data in human genetic studies, including familiarity manipulating sequence data (e.g., VCF files), strategies for genotype imputation, and for quality control of genetic association inputs and outputs.

• Have demonstrated coding ability in either Python, C/C++, or R.

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

• Employ outstanding communication skills to summarize and present new concepts, methods, and results from human genetic studies to a variety of audiences.

• Are experienced, interested, and excited to be part of a team identifying the next generation of therapeutic targets for cardiovascular, metabolic, and skeletal diseases.

To be considered for this role, you must have a PhD in Human Genetics, Biostatistics, or a related field. No post-graduate experience is required, but postdoctoral training or relevant industry experience is preferred. The successful candidate should have experience and competence with approaches currently employed in the group, including genome- and exome-wide association analysis, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modelling, meta-analysis, and the use of functional data to prioritize variants and genes of interest. Expertise with cloud computing environments, advanced tools for genomic analyses (PLINK, REGENIE, etc.), and statistical analysis and computation (R, Python, C/C++) are necessary. Experience working in cardiovascular, metabolic, and/or musculoskeletal diseases is preferred.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.

Salary Range (annually)