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Statistical Genetics Jobs (NOW HIRING)

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 ...

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 ...

Senior Research Scientist

Manhattan, NY · On-site

$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 ...

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 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 ...

Showing results 21-40

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.

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.
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Infographic showing various Statistical Genetics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 20% Part Time, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

$108K - $137K/yr

Full-time

Medical, Retirement

Re-posted 23 days ago


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Job description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary:
We have an exciting opportunity to join our team as a Senior Research Scientist.
The Mostafavi Lab at the Center for Human Genetics and Genomics at NYU School of Medicine is seeking an experienced Senior Research Scientist to provide scientific leadership in statistical and computational genetics research. Our research program focuses on understanding the genetic basis of complex traits and diseases and developing improved methods for disease risk prediction. 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 genetic discoveries into biological insights and clinical applications. 
We are looking for an experienced scientist with extensive expertise in statistical genetics and human genetics to serve as a senior member of the research team. This individual will work closely with Dr. Mostafavi to advance the lab's research agenda while providing scientific leadership and mentorship to trainees.
To apply, please email Dr. Hakhamanesh Mostafavi at hakhamanesh.mostafavi@nyulangone.org with: 1. Curriculum vitae including complete list of publications. 2. Statement (max. 2 pages) describing (i) your research experience and expertise and (ii) your interest in this position and fit with the lab's research program. 3. Contact information for three professional references.

Job Responsibilities:

  • Lead and execute independent research projects in statistical genetics and complex trait genomics
  • Develop and implement novel computational and statistical methods
  • Analyze large-scale genetic and genomic datasets
  • Mentor postdoctoral fellows, graduate students, and research associates
  • Contribute to grant proposal preparation and scientific writing 
  • Collaborate with internal and external research groups
  • Supervise day-to-day research activities and provide technical guidance to team members

Minimum Qualifications:
To qualify you must have a PhD and 3 years of experience or equivalent combination of education and experience.

Preferred Qualifications:
Candidates should hold a PhD in statistical genetics, human genetics, computational biology, statistics, or a related quantitative field, with a strong publication record in complex trait or statistical genetics. The ideal candidate will have demonstrated expertise in developing and applying statistical methods for genetic data analysis, advanced programming skills in languages such as Python or R, and experience with high-performance computing and large-scale genetic datasets. Postdoctoral research experience, including grant writing, is highly desirable. Additional expertise in areas such as statistical genetics methodology development, polygenic risk prediction, genetic architecture of complex traits, functional genomics data integration, or population and evolutionary genetics is preferred. Strong communication skills and the ability to work independently and lead research projects are essential.

Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
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NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $85,000.00-$100,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

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