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Statistical Genetics Jobs in New York (NOW HIRING)

NYU Langone Health

Senior Research Scientist

Manhattan, NY

$108K - $137K/yr

  • Medical

  • Retirement

We work at the intersection of statistical genetics, population genetics, and computational biology, developing and applying novel analytical frameworks to large-scale genetic datasets to translate ...

NYULMC

Senior Research Scientist

New York, NY · On-site

$107K - $137K/yr

  • Medical

  • Retirement

We work at the intersection of statistical genetics, population genetics, and computational biology, developing and applying novel analytical frameworks to large-scale genetic datasets to translate ...

NYU Langone Health

Senior Research Scientist

Manhattan, NY

$108K - $137K/yr

  • Medical

  • Retirement

We work at the intersection of statistical genetics, population genetics, and computational biology, developing and applying novel analytical frameworks to large-scale genetic datasets to translate ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Genetics, Genetic Epidemiology, Statistical Genetics, Bioinformatics, or Computational Biology. Prior experience in the field of genetics of complex diseases is an advantage. Requirements: PhD About ...

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Statistical Genetics information

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$76.9K

$101.9K

$121.5K

How much do statistical genetics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for statistical genetics in New York is $101,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $120,400.00 per year, depending on experience, location, and employer.

What does a statistical geneticist do?

A statistical geneticist analyzes genetic data using statistical methods to identify genetic factors associated with traits or diseases. They often work with large datasets, employ software tools like R or Python, and collaborate with researchers to interpret genetic information for research or clinical purposes.

What are the key skills and qualifications needed to thrive as a statistical geneticist, and why are they important?

To thrive as a Statistical Geneticist, you need a strong background in genetics, statistics, and bioinformatics, often supported by an advanced degree (such as a PhD) in genetics, statistics, or a related field. Expertise with analytical tools like R, Python, PLINK, and genome-wide association study (GWAS) software, as well as familiarity with large-scale genetic datasets, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills are crucial for generating meaningful genetic insights, advancing research, and ensuring accurate analysis in complex genetic studies.

How to become a statistical geneticist?

To become a statistical geneticist, typically a candidate needs a bachelor's degree in genetics, statistics, or a related field, followed by a master's or Ph.D. in statistical genetics, bioinformatics, or computational biology. Developing skills in programming languages like R or Python, understanding genetic data analysis, and gaining experience through research or internships are also important steps.

What are some typical collaborative projects a statistical geneticist might work on within a multidisciplinary research team?

Statistical Geneticists frequently collaborate on projects involving genome-wide association studies (GWAS), analysis of large-scale sequencing data, and development of new statistical methods for genetic data interpretation. These projects often require close teamwork with bioinformaticians, laboratory scientists, clinicians, and data analysts to design studies, interpret findings, and translate genetic discoveries into clinical or biological insights. Such collaborations offer opportunities to contribute specialized statistical expertise while learning from other disciplines, ultimately advancing both scientific understanding and career growth.

What is the difference between Statistical Genetics vs Bioinformatics?

AspectStatistical GeneticsBioinformatics
Required CredentialsDegree in Genetics, Statistics, or related fieldsDegree in Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, academic institutions, healthcare settingsResearch labs, biotech companies, healthcare institutions
Industry UsageGenetic research, disease association studies, population geneticsGenomic data analysis, sequence alignment, data management

Statistical Genetics focuses on analyzing genetic data using statistical methods to understand inheritance and disease associations, while Bioinformatics emphasizes developing computational tools for managing and interpreting biological data. Both roles often collaborate but serve distinct functions within genetic research and healthcare industries.

What is statistical genetics?

Statistical genetics is a field of study that combines statistics and genetics to analyze and interpret genetic data. It focuses on understanding the genetic basis of traits and diseases by applying statistical methods to data from genome-wide association studies, family studies, and population genetics. Statistical geneticists develop models and tools to map genes that contribute to complex traits, estimate heritability, and predict genetic risk. Their work supports advances in personalized medicine, agriculture, and evolutionary biology.

What are popular job titles related to Statistical Genetics jobs in New York?

For Statistical Genetics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Statistical Genetics jobs in New York look for?

The top searched job categories for Statistical Genetics jobs in New York are:

Statistical Genetics jobs near you
Infographic showing various Statistical Genetics job openings in New York as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $101,860 per year, or $49 per hour.

Associate Manager, Statistical Genetics - Regeneron Genetics Center

Regeneron Pharmaceuticals, Inc.

Tarrytown, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

Job description

Build our future together:
The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron's therapeutic programs. We are looking for a Statistical Geneticist 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.
When & where:
  • Location: Tarrytown, NY
  • Work model/flexibility: 4 days onsite

Discover your role:
  • 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.
  • 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.

This role requires:
  • PhD in Human Genetics, Biostatistics, or a related field
  • 0-2 years of experience, postdoctoral training or relevant industry experience is preferred
  • 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.)
  • 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)
$109,900.00 - $179,300.00

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