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Statistical Geneticist information

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$64.9K

$86K

$102.6K

How much do statistical geneticist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for statistical geneticist in Indiana is $85,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,100.00 and $101,600.00 per year, depending on experience, location, and employer.

How do Statistical Geneticists typically collaborate with laboratory scientists and data analysts on research projects?

Statistical Geneticists often work closely with laboratory scientists to interpret experimental data and design studies that effectively capture genetic variation. They also collaborate with data analysts and bioinformaticians to manage large-scale genomic datasets, ensuring data quality and the correct application of statistical models. Effective communication between these roles is essential to translate statistical findings into biological insights, making teamwork a key part of daily responsibilities. This interdisciplinary environment provides opportunities to broaden both technical and collaborative skills.

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 solid background in genetics, statistics, and bioinformatics, typically with a PhD in genetics, statistics, or a related field. Expertise in programming languages such as R or Python, experience with genetic analysis software (e.g., PLINK, GCTA), and familiarity with high-throughput genomic data are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills ensure accurate interpretation of complex genetic data, meaningful scientific discoveries, and successful collaboration within multidisciplinary research teams.

What Is a Statistical Geneticist?

As a statistical geneticist, your duties are to develop novel statistical methods to model and interpret the data contained in human genetic material. Your responsibilities depend on the branch of statistical genetics in which you work. Your models must be built to aid in specific types of research, such as population genetics, epidemiology, or quantitative genetics, and help other scientists analyze their experiments and results. You work closely with researchers in other fields of computational biology, such as physicians, clinicians, molecular biologists, and bioinformatics researchers.

What is a statistical geneticist?

A statistical geneticist is a scientist who uses statistical methods to study the genetic basis of traits and diseases in populations. They analyze large datasets, such as genome-wide association studies (GWAS), to identify genetic variations linked to specific health conditions or traits. Statistical geneticists often collaborate with biologists, clinicians, and data scientists to design studies, develop new methodologies, and interpret genetic data. Their work helps advance our understanding of how genes contribute to complex diseases and traits, which can inform medical research and healthcare.

What is the difference between Statistical Geneticist vs Bioinformatician?

AspectStatistical GeneticistBioinformatician
Required CredentialsMaster's or PhD in Genetics, Statistics, or related fieldsMaster's or PhD in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, academic institutions, healthcare companiesResearch labs, biotech firms, healthcare organizations
Industry UsageGenetics research, disease association studies, personalized medicineGenomic data analysis, software development, data management

While both roles involve working with genetic data, Statistical Geneticists focus on applying statistical methods to understand genetic variations and disease associations. Bioinformaticians develop computational tools and analyze large-scale biological data. The roles often overlap but differ mainly in their core focus: statistical analysis versus computational tool development.

More about Statistical Geneticist jobs
What are popular job titles related to Statistical Geneticist jobs in Indiana? For Statistical Geneticist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Statistical Geneticist jobs in Indiana look for? The top searched job categories for Statistical Geneticist jobs in Indiana are:
What are popular job titles related to Statistical Geneticist jobs in IN? For Statistical Geneticist jobs in IN, the most frequently searched job titles are:
Statistical Geneticist jobs near you
Infographic showing various Statistical Geneticist job openings in Indiana as of July 2026, with employment types broken down into 5% Internship, 15% As Needed, 33% Full Time, 6% Part Time, 23% Temporary, and 18% Nights. Highlights an 28% Physical, 71% Hybrid, and 1% Remote job distribution, with an average salary of $85,986 per year, or $41.3 per hour.
Postdoctoral Fellow in Medical and Molecular Genetics

Postdoctoral Fellow in Medical and Molecular Genetics

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Posted 11 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow in Medical and Molecular Genetics
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Medical & Molecular Genetics
Campus
IU School of Medicine Indianapolis
Position Summary
Postdoctoral Fellow in Statistical Genetics
The Department of Medical and Molecular Genetics at the Indiana University School of Medicine invites applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab.
The HESG Lab develops statistical and computational methods to understand human population history and the genetic basis of complex diseases. Our research sits at the intersection of population genetics, statistical genetics, and evolutionary disease genetics, with a particular emphasis on leveraging human genetic diversity to improve genetic discovery, fine-mapping, and biological interpretation.
The laboratory is currently supported by an NIH Pathway to Independence Award (K99/R00) from the National Institute of Mental Health (NIMH) and offers an outstanding environment for developing innovative quantitative methods, establishing independent research directions, and collaborating with investigators across Indiana University School of Medicine, the Broad Institute, and Massachusetts General Hospital.
Research in the HESG Lab spans three major areas. First, we develop population-genetic methods to reconstruct human population history and understand how migration, admixture, demographic change, and natural selection shape genetic diversity. Second, we develop statistical genetics methods for GWAS, fine-mapping, post-GWAS analysis, and disease-gene discovery. Third, we study evolutionary disease genetics by connecting human evolutionary history, genetic variation, and disease biology. Together, these efforts aim to transform human genetic diversity into a powerful resource for understanding complex disease mechanisms and advancing precision medicine.
Responsibilities
The successful candidate will have the opportunity to:
  • Develop novel statistical and computational methods for human genetics and complex disease research.
  • Conduct research in statistical genetics, population genetics, evolutionary disease genetics, and large-scale genomic data analysis.
  • Analyze genomic datasets from population biobanks, sequencing studies, psychiatric genetics studies, and other large-scale human genetics resources.
  • Lead independent research projects while working closely with the PI and multidisciplinary collaborators.
  • Publish research findings in leading peer-reviewed journals and present work at national and international scientific meetings.
  • Contribute to the generation of preliminary data, analytical frameworks, and methodological results that support NIH and foundation grant applications.

Training and Career Development
The HESG Lab is committed to providing a supportive and intellectually stimulating training environment. Postdoctoral fellows will receive close mentorship in developing independent research directions, writing manuscripts, presenting scientific findings, preparing grant and fellowship applications, mentoring junior trainees, and building a long-term career plan.
The position is well-suited for candidates interested in pursuing independent academic careers, research scientist positions, or leadership roles in human genetics, statistical genetics, computational biology, data science, or industry research.
What We Offer
IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
The successful candidate will join a newly established and rapidly growing research program with strong institutional and NIH support. The laboratory emphasizes methodological innovation, rigorous quantitative thinking, reproducible research, open science, and collaborative team science. Postdoctoral fellows will have opportunities to shape the scientific direction and culture of the lab while developing independent research programs that address fundamental questions in human genetics, population history, psychiatric genetics, and complex disease biology.
Dr. Yuan's prior work provides the foundation for the HESG Lab's current research directions. His statistical genetics work includes the development of SuSiEx, a cross-ancestry fine-mapping framework published in Nature Genetics, as well as contributions to large-scale complex disease genetics studies, including a Crohn's disease exome sequencing study published in Nature Genetics. His population and evolutionary genetics work includes ArchaicSeeker2, published in Nature Communications, for detecting archaic introgression and reconstructing complex introgression histories. Building on this background, the lab continues to develop methods for reconstructing complex population histories, including MultiWaver, MultiWaverX, HierMultiMix, and the recently published HiMWA framework. Together, these studies reflect the lab's long-term goal of developing rigorous statistical methods that connect human evolutionary history, genetic diversity, and complex disease biology.
Basic Qualifications
Required Qualifications
Applicants must have:
  • A Ph.D. in Statistics, Biostatistics, Genetics, Bioinformatics, Computer Science, Mathematics, Data Science, or a related quantitative discipline.
  • Strong quantitative, computational, and programming skills.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to work both independently and collaboratively.
  • Strong interest in developing statistical or computational methods for human genetics.

Preferred Qualifications
Experience in one or more of the following areas is preferred:
  • Statistical genetics
  • Human genetics
  • Population genetics
  • Evolutionary genetics
  • Bayesian statistics
  • Machine learning
  • Large-scale genomic data analysis
  • High-performance computing

Experience in human population genetics, evolutionary genetics, or related quantitative analyses is considered a plus but is not required.
Department Contact for Questions
Application
Applicants should submit:
  • Curriculum Vitae
  • Brief statement of research interests and career goals
  • Contact information for three references

though the Indiana University academic careers portal via this link
https://indiana.peopleadmin.com/postings/33803Applications will be reviewed on a rolling basis until the position is filled.
Kai Yuan, PhD
Assistant Professor
Department of Medical and Molecular Genetics
Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
Principal Investigator
Human Evolutionary and Statistical Genetics (HESG) Lab
Computational Methods for Population History and Complex Disease
Email: yuankai@iu.edu
Additional Qualifications
Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02470-2026

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