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Statistical Geneticist Jobs (NOW HIRING)

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.

Beef Geneticist

De Forest, WI · On-site +1

$75K - $104K/yr

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

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 ...

... 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 ...

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 ...

... 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 ...

Beef Geneticist

De Forest, WI · On-site

$75K - $104K/yr

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 Jul 29, 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.

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.

What cities are hiring for Statistical Geneticist jobs? Cities with the most Statistical Geneticist job openings:
What are the most commonly searched types of Statistical Geneticist jobs? The most popular types of Statistical Geneticist jobs are:
Who are the top companies hiring for Statistical Geneticist jobs? The top employers for Statistical Geneticist jobs are:
What states have the most Statistical Geneticist jobs? States with the most job openings for Statistical Geneticist jobs include:
What are popular job titles related to Statistical Geneticist jobs? For Statistical Geneticist jobs, the most frequently searched job titles are:
Infographic showing various Statistical Geneticist job openings in the United States as of July 2026, with employment types broken down into 6% Internship, 19% As Needed, 21% Full Time, 3% Part Time, 28% Temporary, and 23% Nights. Highlights an 11% Physical, and 89% Hybrid job distribution, with an average salary of $90,119 per year, or $43.3 per hour.
Senior Statistical Geneticist

$185K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Mavericks Wanted
When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on
In 2015, we pioneered a "moneyball for biotech" approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible.
Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation-including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work.
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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At BridgeBio, we strive to provide a market-competitive total rewards package, including base pay, an annual performance bonus, company equity, and generous health benefits. Below is the anticipated salary range for candidates for this role who will work in California. The final salary offered to a successful candidate will depend on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience within the industry, educational background, location of residence and performance during the interview process. BridgeBio is a multi-state employer, and this salary range may not reflect positions based in other states.
Salary
$185,000-$230,000 USD
As a global company, our comprehensive benefits may vary based on location. We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return.
For Full-Time U.S Based Roles:
Financial & Rewards
  • Market-leading compensation
  • 401(k) with employer match
  • Employee Stock Purchase Program (ESPP)
  • Pre-tax commuter benefits (transit and parking)
  • Referral bonus for hired candidates
  • Subsidized lunch and parking on in-office days

Health & Well-Being
  • 100% employer-paid medical, dental, and vision premiums for you and your dependents
  • Health Savings Account (HSA) with annual employer contributions, plus Flexible Spending Accounts (FSA)
  • Fertility & family-forming benefits
  • Expanded mental health support (therapy and coaching resources)
  • Hybrid work model with flexibility
  • Flexible, "take-what-you-need" paid time off and company-paid holidays
  • Comprehensive paid medical and parental leave to care for yourself and your family

Skill Development & Career Paths:
  • People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility
  • We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, & BetterUp Coaching
  • We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities