ZipRecruiter

Log In

1

Statistical Genetics Jobs (NOW HIRING)

NYULMC

Senior Research Scientist

New York, NY · On-site

$107K - $137K/yr

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

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 ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

We combine statistical genetics, single-cell and single-nucleus multi-omics, and computational genomics to translate GWAS signals into biology. Our work spans method development, data generation ...

23andMe

Scientist, Population Genetics

Palo Alto, CA · On-site

23andMe is looking for a quantitative scientist with extensive experience in population genetics and statistical modeling of human genetics data to join our R&D team. You will leverage your expertise ...

23andme

Scientist, Population Genetics

Palo Alto, CA

23andMe is looking for a quantitative scientist with extensive experience in population genetics and statistical modeling of human genetics data to join our R&D team. You will leverage your expertise ...

Ohalo

Quantitative Geneticist

San Francisco, CA · On-site

D. in Quantitative Genetics, Statistical Genetics, Plant Breeding, Biostatistics, Operations Research, or a related computational field. • 5+ years of hands-on experience applying quantitative ...

next page

Showing results 1-20

All JobsStatistical Genetics Jobs

Statistical Genetics information

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.

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.
More about Statistical Genetics jobs
What cities are hiring for Statistical Genetics jobs? Cities with the most Statistical Genetics job openings:
What states have the most Statistical Genetics jobs? States with the most job openings for Statistical Genetics jobs include:
What job categories do people searching Statistical Genetics jobs look for? The top searched job categories for Statistical Genetics jobs are:
Statistical Genetics jobs near you
Infographic showing various Statistical Genetics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
POSTDOCTORAL RESEARCHER - McDermott Center HG&D - Seplyarskiy Lab [Req#: 911441, Position#: 127940]

POSTDOCTORAL RESEARCHER - McDermott Center HG&D - Seplyarskiy Lab [Req#: 911441, Position#: 127940]

UT Southwestern Medical Center

Dallas, TX • On-site

$114K/yr

Full-time

Posted 8 days ago

UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

103rd of 869 rated healthcare providers

Job description

Description
Postdoctoral Researcher in Mutagenesis, Population and Statistical Genetics
A postdoctoral training opportunity is now available in the Seplyarskiy Lab in the McDermott Center for Human Growth and Development at UT Southwestern Medical Center at Dallas. We are currently accepting applications for a postdoctoral fellowship in mutagenesis, statistical genomics, and computational biology.
Research directions
  • Mutagenesis: evolution of mutational mechanisms across the tree of life; somatic mutagenesis and clonal dynamics; reconstruction of early developmental lineages from mosaic mutations.
  • Population genetics: quantifying recurrence and number of mutational origins in large cohorts; discovery of strongly selected sites and constraint from recurrence-aware models.
  • Statistical genetics: partitioning heritability and enrichment in DNA-repair and mutagenesis pathways (including cancer-relevant contexts); development of mutation rate model

Training & environment
  • Close mentorship in mutagenesis, population genetics, and statistical genetics
  • Active joint journal clubs with external groups (Ziyue Gao - UPenn, Evan Koch - Yale), collaborative community at UTSW's McDermott Center.
  • Access to large datasets (e.g., biobanks, gnomAD-class resources) and compute.

Responsibilities
  • Formulate and test new quantitative models of mutation, selection, and clonal evolution.
  • Develop methodstailored to large-scale genomic datasets.
  • Lead analyses, interpret results and drive manuscripts to completion.
  • Collaborate on related work across the lab's projects.

Qualifications
• Ph.D. (or equivalent, or soon to be completed) in Statistics, Biostatistics, Computer Science, Population/Statistical Genetics, Bioinformatics/Computational Biology
• Proficiency in R and/or Python/ or other languages
• Plus factors: experience with method development, exposure to population-genetic theory (selection, demography, coalescent/ARG), mutational-process modeling, scalable data engineering, cloud/HPC, or ancient DNA.
Application Instructions
Interested individuals should send a CV, cover letter briefly describing previous research experience, and a summary of current research interests.

What UT Southwestern employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply