Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Paid Time Off
•Parental Leave
•Gym
•Annual Bonuses
•Healthcare
•401k
•Equity
•Parental Leave
•Gym
Required Skills
Statistical genetics
Genetic association analysis
Data integration
Data harmonization
Communication
Project management
We are seeking a highly motivated and talented Associate Manager, Analytical Genetics and Data Science (AGDS) to join the AGDS team at the Regeneron Genetics Center (RGC). In this individual contributor role, you will conduct analyses of large-scale human genetic and phenotypic datasets for the discovery and validation of new therapeutic targets. Your work will use both in-house and public data resources, and your responsibilities will include integrating genetic data with other multi-omics data, applying state of the art statistical tools and methodologies, performing QC, and identifying and interrogating data driven hypotheses related to analytic and translational genetics. In addition to designing and executing analytic studies, you will collaborate with groups across Regeneron’s R&D functions, including both pre-clinical and clinical development teams.
In this role, a typical day might include the following:
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Demonstrated expertise in genetic association analyses using large-scale genetic data.
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Strong understanding of multi-omic data integration and its application in therapeutic target discovery.
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Experience in developing and implementing methods for data harmonization and normalization.
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Experience with cutting edge genetic analysis approaches, such as genome-wide association analysis, exome-wide association analysis, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modelling, pleiotropy analysis, meta-analysis, and the use of functional data to prioritize variants and genes of interest.
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Proven ability to independently lead and manage research projects from conception to completion.
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Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams.
This role might be for you if have:
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A PhD in a relevant field (e.g., statistical genetics, bioinformatics, computational biology, genetics, or related disciplines).
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0-2 years of post-PhD experience in analyzing large-scale omics datasets.
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Outstanding communication skills and an ability to summarize and present the results of human genetic studies to a variety of technical audiences, ranging from specialists in statistical genetics and computation to specialists in biology, drug design, and medicine.
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 Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s 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
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About Regeneron

Regeneron
PublicFocused on neurotrophic factors and their regenerative capabilities, giving rise to its present name; the company has since expanded operations int...
10,001+
Employees
Westchester County
Headquarters
Reviews
3.2
5 reviews
Work Life Balance
2.0
Compensation
4.3
Culture
2.5
Career
3.5
Management
2.0
Pros
Good pay and benefits
Company events and perks
Great coworkers
Cons
Toxic management
Poor work-life balance
Micromanagement and lack of autonomy
Salary Ranges
1,037 data points
Junior/L3
Junior/L3 · Data Analyst
0 reports
$108,540
total / year
Base
-
Stock
-
Bonus
-
$92,259
$124,821
Interview Experience
5 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Phone/Video Screen
3
Hiring Manager Interview
4
Panel Interview
5
Stakeholder Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Presentation Skills
Culture Fit
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