1

Statistical Geneticist Jobs (NOW HIRING)

Strong background in statistical analysis of large and complex datasets. * Knowledge of genomewide ... Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R ...

Strong background in statistical analysis of large and complex datasets. * Knowledge of genome-wide ... Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R ...

Strong background in statistical analysis of large and complex datasets. * Knowledge of genomewide ... Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R ...

Strong background in statistical analysis of large and complex datasets. * Knowledge of genomewide ... Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R ...

Strong background in statistical analysis of large and complex datasets. * Knowledge of genomewide ... Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R ...

Everforth ECS Federal is seeking a Genetic Statistical SME to work in our Stafford, VA office / remotely . Please Note: This position is contingent upon additional funding. ECS is seeking a Genetic ...

next page

Showing results 1-20

Statistical Geneticist information

See salary details

$68K

$90.1K

$107.5K

How much do statistical geneticist jobs pay per year?

As of Jun 9, 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 May 2026, with employment types broken down into 2% Internship, 2% As Needed, 2% Full Time, 89% Part Time, 2% Temporary, and 3% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.
Director Statistical Genetics (Oncology)

Director Statistical Genetics (Oncology)

Regeneron Pharmaceuticals

Tarrytown, NY

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 hours ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 71 rated pharmaceutical


Job description

We are seeking an exceptional senior leader with deep expertise in cancer genetics and genomics to join our team at the Regeneron Genetics Center. This Director-level role carries full accountability for the strategy and execution of cancer genetic product development - from aligning the vision with senior leadership and translating it into an actionable operational plan, through overseeing product development and setting the strategy for commercialization. The ideal candidate will bring a demonstrated track record of independence and impact, and will serve as the driving force for bringing cancer risk genomics into clinical and commercial reality.

In this role, a typical day might include the following:

Develop and deliver on cancer genetics testing opportunities, including germline testing partnerships, serving as the senior leader accountable for clinical cancer test development.

Define and own the end-to-end strategy for germline genetic cancer risk product development, translating organizational vision - aligned with senior leadership - into a clear, actionable operational roadmap with measurable milestones.

Develop and execute a comprehensive somatic genetics strategy for Regeneron's oncology portfolio, identifying new opportunities for somatic profiling studies across tumor types and leveraging existing cancer genomics databases.

Lead and execute large-scale somatic cancer sequencing analyses, including whole-exome and whole-genome sequencing of tumor samples, RNA-seq, and integrative multi-OMICS studies to identify driver mutations, therapeutic vulnerabilities, and mechanisms of resistance.

Design and contribute to cancer molecular profiling and clinical correlation analyses that integrate germline and somatic mutational profiles with multi-modal transcriptomic, epigenetic, and proteomic data to support target discovery, indication selection, and patient stratification strategies.

Oversee all phases of product development for cancer risk genomics programs, ensuring scientific rigor, cross-functional alignment, and on-time delivery against strategic objectives.

Develop and execute the commercialization strategy for RGC cancer products, identifying market opportunities, go-to-market pathways, and partnerships that maximize clinical and commercial impact.

Collaborate with and lead a multidisciplinary genetics team consisting of human genetics scientists, bioinformaticians, and statistical geneticists to design, execute, and interpret genetics studies related to cancer risk, somatic evolution, mechanisms, and therapeutic outcomes.

This job might be for you if you:

Have a demonstrated ability to independently own and drive strategic programs in cancer risk genomics or oncology product development from conception through commercialization.

Bring innovative thinking and hands-on leadership to large-scale somatic cancer sequencing studies and integrative genomic analyses.

Have deep expertise in analyzing tumor sequencing data, including variant calling, mutational signature analysis, clonal evolution, copy number alterations, and structural variant detection.

Have experience in developing or contributing to germline diagnostic tests for cancer predisposition, risk assessment, or clinical decision-making.

Are a motivated senior leader with a desire to pursue genetic discovery in a fast-paced multidisciplinary environment and can effectively guide teams and align stakeholders toward strategic goals.

Have demonstrated experience in quantitative problem solving, statistical analyses, and translating somatic and germline genetic findings into clinical applications.

To be considered for this role, you must have an MD or MD/PhD with a strong background in quantitative biology applied to cancer genetics and genomics, and a proven ability to design and lead large-scale human cancer genomic programs delivering medically- and commercially-relevant outcomes.

A minimum of 12 years of research experience in cancer genetics, genomics, or oncology product development is required, with a commensurate level of independence, seniority, and demonstrated responsibility for program strategy and execution.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$205,000.00 - $341,600.00

What Regeneron employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom