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Statistical Geneticist Jobs (NOW HIRING)

BridgeBio Pharma

Senior Statistical Geneticist

What You'll Do You will lead statistical genetics analyses of primarily population-scale genomics data to inform decisions about new business opportunities and advance internal development programs.

BridgeBio Pharma

Senior Statistical Geneticist

$185K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

What You'll Do You will lead statistical genetics analyses of primarily population-scale genomics data to inform decisions about new business opportunities and advance internal development programs.

Genus PLC

Beef Geneticist

De Forest, WI · On-site +1

$75K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Evaluate and implement improvements to statistical models, methodologies, and data collection strategies to increase prediction accuracy. * Stay current with advancements in quantitative genetics ...

61 Premier Research Poland Sp. z.o.o

NY · On-site

$120 - $160/hr

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life‑changing ideas and ...

Premier Research

Statistical Scientist Director

$186K/yr

  • Medical

  • Retirement

  • PTO

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and ...

Pfizer

Senior Computational Geneticist

Cambridge, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Sound statistical and quantitative skills, with knowledge of epidemiological principals and ... Familiarity with genetics platforms * Able to effectively interact and communicate with ...

Alta Genetics

Research Geneticist

Watertown, WI

... statistical software (e.g., ASReml, BLUPF90, R, or Python) and Microsoft Office; and, * Must be willing and able to travel 10% domestic or international. Alta Genetics is a global leader in the ...

Genus PLC

Beef Geneticist

De Forest, WI · On-site

$75K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Evaluate and implement improvements to statistical models, methodologies, and data collection strategies to increase prediction accuracy. * Stay current with advancements in quantitative genetics ...

Alta Genetics

Research Geneticist

Watertown, WI · On-site

$102K - $127K/yr

... statistical software (e.g., ASReml, BLUPF90, R, or Python) and Microsoft Office; and, * Must be willing and able to travel 10% domestic or international. About Us Alta Genetics is a global leader in ...

Trans Ova Genetics

Research Geneticist

Watertown, WI · On-site

... statistical software (e.g., ASReml, BLUPF90, R, or Python) and Microsoft Office; and, * Must be willing and able to travel 10% domestic or international. Alta Genetics is a global leader in the ...

Genus PLC

Beef Geneticist

De Forest, WI · On-site +1

$75K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Evaluate and implement improvements to statistical models, methodologies, and data collection strategies to increase prediction accuracy. * Stay current with advancements in quantitative genetics ...

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Statistical Geneticist information

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$68K

$90.1K

$107.5K

How much do statistical geneticist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for statistical geneticist in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.

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For Statistical Geneticist jobs, the most frequently searched job titles are:

Statistical Geneticist jobs near you
Infographic showing various Statistical Geneticist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.

Senior Statistical Geneticist

BridgeBio Pharma

Remote

Full-time

Re-posted 11 days ago

Job description

What You'll Do
You will lead statistical genetics analyses of primarily population-scale genomics data to inform decisions about new business opportunities and advance internal development programs. Working independently in a dynamic, data-driven environment, you will leverage methods from multiple disciplines, including statistical inference, machine learning, and simulation frameworks, to extract insights and translate them into actionable recommendations. You will also contribute to building and maintaining the computational tools and infrastructure that enable streamlined, reproducible analyses across the team.

Responsibilities
- Design, execute, and interpret analyses of diverse quantitative and binary traits in large-scale population cohorts to support internal research programs and external opportunity evaluation (e.g., new program opportunities and partnership diligence)

- Perform integrative analyses of human genetics and EHR data to enable target identification, biomarker discovery, and clinical development decisions

- Collaborate closely with cross-functional stakeholders, including biology, clinical, and business development teams, to translate analytical findings into actionable insights

- Communicate results clearly and effectively through internal presentations, written reports, and contributions to external scientific publications and conferences

Where You'll Work
This is a U.S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio's San Francisco office or conference locations. 

Who You Are

Required:
- PhD in Statistical Genetics, Human Genetics, Computational Biology, or related disciplines with 5+ years of industry experience. Experience with rare disease genetics and translational research is strongly preferred.

- Demonstrated hands-on experience working with UK Biobank and All of Us data, including a strong understanding of their data architecture and data types. Applicants must include brief descriptions of relevant projects in their resume

- Extensive experience with QC, analysis, and interpretation of human genetics data (single-variant and gene-based association analyses using WES/WGS/array genotyping data) 

- Proficiency in Python and hands-on experience integrating AI-powered tools (e.g., Claude, Codex) into analytical workflows to improve productivity, reproducibility, and code quality across code generation, data analysis, and documentation, with appropriate validation of outputs.

Preferred

- Experience inferring disease incidence and prevalence from genetics data

- Familiarity with large-scale human genomics databases (including but not limited to gnomAD, GTEx, 1000 Genomes, and TOPMed). Hands-on experience is strongly preferred

- Experience supporting target validation and/or biomarker discovery efforts in a pharmaceutical or biotechnology setting.

- Familiarity with multi-omics data types (e.g., transcriptomics, proteomics, epigenomics, chromatin accessibility); hands-on experience preferred.

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