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Statistical Geneticist Jobs (NOW HIRING)

... Quantitative Geneticist to be a principal architect of their computational engine. The role ... Design, build, and validate the primary statistical models (e.g., GBLUP, ssGBLUP, GWAS) that form ...

Quantitative Geneticist, Predictive Breeding Location: South San Francisco, CA Time Type: Full Time ... Design, build, and validate the primary statistical models (e.g., GBLUP, ssGBLUP, GWAS) that form ...

Quantitative Geneticist, Predictive Breeding Location: South San Francisco, CA Time Type: Full Time ... Design, build, and validate the primary statistical models (e.g., GBLUP, ssGBLUP, GWAS) that form ...

Quantitative Geneticist, Predictive Breeding Location: South San Francisco, CA Time Type: Full Time ... Design, build, and validate the primary statistical models (e.g., GBLUP, ssGBLUP, GWAS) that form ...

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 ...

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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 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.
Biostatistician/Manager of Statistical Training

Biostatistician/Manager of Statistical Training

Harvard University

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 535 rated colleges and universities


Job description

Company Description

By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

Why join the Harvard T.H. Chan School of Public Health?

The Harvard T.H. Chan School of Public Health is a world-renowned institution dedicated to advancing public health through cutting-edge research, education, and global collaboration. Our school is a special place to work because of its vibrant, mission-driven community, interdisciplinary approach, and commitment to addressing some of the most pressing health challenges worldwide. We foster a collaborative and inclusive work environment where innovation, continuous learning, and work-life balance are valued.

Learn more about the School's mission, objectives, and core values, our Principles of Citizenship, and about the Dean's AAA vision about our school's ongoing strategic initiatives.

Job Description

Job Summary:

The Center for Biostatistics in AIDS Research (CBAR), an organization within the Harvard T.H. Chan School of Public Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks. CBAR employs over 60 statisticians and epidemiologists including Harvard faculty, research scientists, and staff.  Investigators within CBAR have provided statistical leadership and support for clinical research networks for thirty-five years. Currently this includes infectious disease networks such as: Advancing Clinical Therapeutics Globally for HIV/AIDS and Other Infections (ACTG) and the International Maternal Pediatric Adolescent AIDS Clinical Trials Network (IMPAACT). Results from studies have helped to establish the paradigm for the treatment and prevention of HIV and other infectious diseases, and contributed to international treatment and prevention guidelines.

CBAR has a hybrid work environment which includes a combination of on-campus/in-person work and remote work.

This position is located in the Center for Biostatistics in AIDS Research (CBAR) within the Harvard T.H. Chan School of Public Health in Boston, Massachusetts.  Since 1989, CBAR and the Harvard T.H. Chan School of Public Health have provided a strong program for growth and professional development for its research staff -- including a defined career path and opportunities for continuing education and attendance of professional meetings.

Job-Specific Responsibilities:

The Center for Biostatistics in AIDS Research (CBAR) is actively recruiting a Biostatistician/Manager of Statistical Training position to act as a protocol statistician and will collaborate directly with medical researchers, senior statisticians, and epidemiologists on national and international infectious diseases clinical trials and observational studies. The primary focus will be on studies undertaken by IMPAACT (International Maternal Pediatric Adolescent AIDS Clinical Trials Network). Duties include, but are not limited to, clinical trial and observational study review; data collection forms design and review; stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing under the mentorship and supervision of senior staff. This position will also serve on internal CBAR committees. 

Up to fifty percent (50%) of this position is dedicated to being the supervisor of  Biostatistician I's and/or Statistical Analysts through their promotion to Biostatistician II for IMPAACT.

Supervising responsibilities include but are not limited to:

  • Guidance, training, and review of supervisee's assigned work
    • Communication with each senior statistician on specifics of the work assigned
    • Attend meetings between senior statistician and supervisee as needed
    • Provide training in the context of assigned tasks
    • Review of supervisee's programs, output, and draft reports as needed
  • Meet with supervisees at least weekly and as needed to ensure their work proceeds efficiently
  • Identify areas for training and provide the training or refer to Training Committee/other resources for assistance
  • Work with Training Committee to identify where more central training is needed
  • Coordinate work load/priorities for supervisees with section/project leadership
  • Complete annual performance reviews of supervisees
  • Take lead on career advancement decisions for supervisees

Biostatistician duties and responsibilities include, but are not limited to, the following:

  • Clinical and observational study development and review
  • Forms design and review
  • SDTM Modeling
  • Study Monitoring
  • Development of analysis plans
  • Development of ADaM analysis datasets, programming, analysis, and report writing

The Biostatistician/Manager of Statistical Training will also perform other duties as assigned.

Please attach the following when applying: 1) Resume, 2) Cover letter, 3) Transcript (official or unofficial) from MA/MS program and 4) Names and email addresses for three (3) professional references.

PLEASE NOTE: This position has a term end date of November 30, 2027, with strong likelihood of extension.

Qualifications

Basic Qualifications:

  • Master's Degree in Biostatistics, Statistics, or a closely-related field required
  • 5+ years of related experience required
  • Experience with statistical software (such as SAS, R, Stata, etc.) required

Additional Qualifications and Skills:

  • Two-year Master's Degree (MA/MS) program
  • Prior supervisory experience
  • Statistical experience with multi-center clinical trials, or equivalent collaborative statistical experience
  • Highly specialized and technical knowledge of statistical analysis and principles including categorical data and censored failure time data analysis
  • Advanced computer skills and experience with major statistical computing packages preferred.  Experiene with MS Office Word, Excel and PowerPoint
  • Experience with independently analyzing data from clinical trials using statistical techniques
  • Experience contributing to the writing of manuscripts, abstracts, and other publications documenting study findings
  • Experience in effectively collaborating with study chairs, medical officers, protocol specialists and database managers
  • Familiarity with medical terminology
  • Strong attention to detail, strong organizational skills organized, and strong written and verbal communication skills
Additional Information
  • Appointment End Date: November 30, 2027
  • Standard Hours/Schedule: 35 hours per week
  • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
  • Pre-Employment Screening: Identity, Education

Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country! 

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  • The Harvard T.H. Chan School of Public Health does not provide visa sponsorship, now or in the future, for staff positions. 
  • Harvard University requires pre-employment reference checks and background screenings. 
  • This position has a 120 day orientation and review period. 

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The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines. 

Work Format Details

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University's Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information. 

Benefits

Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: 

  • Generous paid time off including parental leave 
  • Medical, dental, and vision health insurance coverage starting on day one 
  • Retirement plans with university contributions 
  • Wellbeing and mental health resources 
  • Support for families and caregivers 
  • Professional development opportunities including tuition assistance and reimbursement 
  • Commuter benefits, discounts and campus perks 

Learn more about these and additional benefits on our Benefits & Wellbeing Page. 

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.