Associate Manager, Statistical Genetics
Company: Regeneron Pharmaceuticals, Inc.
Location: Tarrytown
Posted on: February 6, 2026
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Job Description:
We are looking for a statistical geneticist to contribute to the
analysis and interpretation of millions of genotyped and sequenced
humans linked with rich phenotype data from around the world. You
will leverage these data to gain new insights into disease
mechanisms and generate new discoveries that enable Regeneron to
create and deliver better medicines to patients in need. Within the
broad domain of cardiovascular, metabolic disease, and skeletal
diseases, you will work collaboratively with other specialists in
genomic data analysis, translational genetics, functional biology,
and medicine, to design, execute, and refine analyses that connect
genetic variation to human health and disease. You will help
develop and implement statistical and computational tools that will
allow these analyses to be executed and interpreted at scale. 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 maintain and improve analytical workflows and
implement analytical best practices. Integrate computational tools
and diverse molecular data types to generate insights about human
disease, interpret results, and prioritize candidate therapeutic
targets. 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. To be considered for this role ,
you must have a PhD in Human Genetics, Biostatistics, or a related
field. Postdoctoral training or 0-2 years of industry experience is
required. 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 have an inclusive culture that provides
comprehensive benefits, which vary by location. In the U.S.,
benefits may include health and wellness programs (including
medical, dental, vision, life, and disability insurance), fitness
centers, 401(k) company match, family support benefits, equity
awards, annual bonuses, paid time off, and paid leaves (e.g.,
military and parental leave) for eligible employees at all levels!
For additional information about Regeneron benefits in the US,
please visit
https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.
For other countries specific benefits, please speak to your
recruiter. Please be advised that at Regeneron, we believe we are
most successful and work best when we are together. For that
reason, many of Regenerons roles are required to be performed
on-site. Please speak with your recruiter and hiring manager for
more information about Regenerons on-site policy and expectations
for your role and your location. 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, nationality, national or ethnic origin,
civil status, age, citizenship status, membership of the Traveler
community, sexual orientation, disability, genetic information,
familial status, marital or registered civil partnership status,
pregnancy or parental status, gender identity, gender reassignment,
military or veteran status, or any other protected characteristic
in accordance with applicable laws and regulations. The Company
will also provide reasonable accommodation to the known
disabilities or chronic illnesses of an otherwise qualified
applicant for employment, unless the accommodation would impose
undue hardship on the operation of the Company's business. For
roles in which the hired candidate will be working in the U.S., the
salary ranges provided are shown in accordance with U.S. law and
apply to U.S.-based positions. For roles which will be based in
Japan and/or Canada, the salary ranges are shown in accordance with
the applicable local law and currency. If you are outside the U.S,
Japan or Canada, please speak with your recruiter about salaries
and benefits in your location. Please note that certain background
checks will form part of the recruitment process. Background checks
will be conducted in accordance with the law of the country where
the position is based, including the type of background checks
conducted. The purpose of carrying out such checks is for Regeneron
to verify certain information regarding a candidate prior to the
commencement of employment such as identity, right to work,
educational qualifications etc. Salary Range (annually) $109,900.00
- $179,300.00
Keywords: Regeneron Pharmaceuticals, Inc., Levittown , Associate Manager, Statistical Genetics, Science, Research & Development , Tarrytown, Pennsylvania