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Computational Geneticist Jobs (NOW HIRING)

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Computational Biologist

Palo Alto, CA · On-site

... human genetics, and pre-validated chemistry to identify and advance drug candidates with a ... PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ...

MyOme

Scientist, Computational Biology

Menlo Park, CA · On-site

$130K - $150K/yr

MyOme's mission is to provide clinically actionable genetic information to patients throughout ... We are seeking a driven, analytical Scientist, Computational Biology to join our early-stage ...

Genus PLC

Beef Geneticist

De Forest, WI · On-site

$75K - $104K/yr

Strong statistical and computational expertise, including a deep understanding of models used in ... Strong understanding of beef cattle genetic improvement programs. * Understanding of beef and dairy ...

Genus PLC

Beef Geneticist

De Forest, WI · On-site +1

$75K - $104K/yr

Strong statistical and computational expertise, including a deep understanding of models used in ... Strong understanding of beef cattle genetic improvement programs. * Understanding of beef and dairy ...

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Computational Geneticist information

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$56K

$94.3K

$130.5K

How much do computational geneticist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computational geneticist in the United States is $94,262.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational geneticist?

To thrive as a Computational Geneticist, you need a solid background in genetics, bioinformatics, and statistics, typically supported by an advanced degree in genetics, computational biology, or a related field. Proficiency with programming languages (such as Python or R), genomics databases, and specialized software like PLINK or GATK is essential. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help distinguish top performers in this role. These competencies are crucial for interpreting complex genetic data, driving research discoveries, and contributing to advancements in personalized medicine.

What does a computational geneticist do?

A computational geneticist uses computer algorithms, statistical models, and bioinformatics tools to analyze genetic data. Their work often involves studying DNA sequences, identifying genetic variations, and understanding how these variations contribute to traits or diseases. They collaborate with biologists, clinicians, and other scientists to interpret large-scale genomic data and develop insights that can inform medical research, agriculture, or evolutionary studies. The field requires strong skills in programming, mathematics, and genetics.

What are some common challenges faced by computational geneticists in collaborative research projects?

Computational geneticists often collaborate with biologists, clinicians, and data scientists, which can present challenges such as aligning interdisciplinary goals and ensuring clear communication. Differences in technical language and project priorities can require extra effort to establish shared understanding and effective workflows. Additionally, managing and integrating large, complex datasets from diverse sources can be demanding, necessitating robust data management practices and flexibility in adapting analytical approaches. Successful computational geneticists regularly bridge these gaps by fostering strong communication skills and staying adaptable in fast-paced, collaborative environments.
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What cities are hiring for Computational Geneticist jobs? Cities with the most Computational Geneticist job openings:
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Computational Geneticist jobs near you
Infographic showing various Computational Geneticist job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 58% Full Time, 36% Part Time, 1% Temporary, and 2% Contract. Highlights an 59% Physical, 2% Hybrid, and 39% Remote job distribution, with an average salary of $94,262 per year, or $45.3 per hour.

Computational Biologist

The University of Chicago

Chicago, IL • On-site

$60K - $80K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

156th of 616 rated colleges and universities

Job description

Department
BSD MED - Genetic Medicine - Im Research Staff
About the Department
The Section of Genetic Medicine shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and more powerful ways to identify genetic risk factors for common, complex disorders with almost immediate clinical application.
The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.
Job Summary
We are seeking a lifelong learner interested in developing statistical and computational tools to sift through large amounts of data to make discoveries that can improve human health. The Computational Biologist will contribute to the development and application of statistical and computational tools across NIH-funded projects, integrating large-scale GWAS with metabolomics data to uncover mechanisms underlying complex diseases and developing polygenic risk scores that transfer genetic signals across human populations and model organisms to study addiction-related traits, COPD, type 2 diabetes, and other common diseases.
Responsibilities
  • Analyze large-scale genomic datasets including RNA-seq, whole genome sequence, and single-cell data.
  • Develop and apply statistical and computational methods to extract biological insights from high-dimensional data.
  • Develop and train deep learning models to improve upon traditional statistical methods in genomics.
  • Collaborate with disease and genomics experts to address pressing biomedical research questions.
  • Write and contribute to scientific publications and present findings at lab and consortium meetings.
  • Help train and mentor students in the lab.
  • Applies research principles and relevant subject matter knowledge relevant to administer a research project. With a moderate level of direction, manages lab and/or research-related duties and tasks. Helps develop, design and conduct research projects according to plan.
  • Takes responsibility for the following laboratory duties: recognizing abnormal results and varying conditions or procedures to correct problems; setting up and performing experiments. Analyze the meaning, significance, causes, and effects of the subject.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Education:
  • Master's or doctoral degree in computational biology, bioinformatics, statistics, physics, or other quantitative disciplines with an interest in applying skills to biomedical research.

Experience:
  • Experience with deep learning in genomics and large language models.
  • Experience with large datasets, distributed computing, and databases.
  • Reproducible research tools and workflows (GitHub, Snakemake, Nextflow).
  • Proficiency in R and/or Python.

Preferred Competencies
  • Strong Analytical skills.
  • Problem-solving skills.
  • Organizational skills.
  • Verbal and written communication skills.
  • Ability to work independently and as part of a team
  • Willingness to explore and adopt new ideas and technologies.
  • Analytical, statistical, quantitative, and computational/programming skills.

Application Documents
  • Resume (required)
  • Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$60,000.00 - $80,000.00
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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