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Computational Geneticist Jobs (NOW HIRING)

Genus PLC

Beef Geneticist

De Forest, WI · On-site

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 ...

BridgeBio Pharma

Senior Statistical Geneticist

$185K - $230K/yr

You will also contribute to building and maintaining the computational tools and infrastructure ... Experience with rare disease genetics and translational research is strongly preferred ...

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How much do computational geneticist jobs pay per year?

As of Jul 17, 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, and why are they important?

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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Assistant Staff - Computational Biologist

Assistant Staff - Computational Biologist

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Group 22—Counter Weapons of Mass Destruction (C-WMD) Systems Group. 

The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges. We are looking for an individual with expertise in computational biology and data science who can contribute to our mission of developing advanced technologies to counter weapons of mass destruction.

Job Description

Key Responsibilities:

  • Assist with projects involving the analysis of complex biological datasets, including next-generation sequencing and metagenomic data.
  • Apply state-of-the-art computational tools and algorithms, including machine learning and AI models, to biological questions related to multi-omics, immunology, and microbiome research.
  • Assist with laboratory experiments to generate and validate biological data.
  • Collaborate with a multidisciplinary team to solve broad and challenging problems in biodefense.

Required Qualifications:

  • Bachelor’s degree in Bioengineering, Computational Biology, Bioinformatics, Molecular Biology, Data Science or a related field, or a Computer Science degree with biology experience.
  • Expertise in computational biology and bioinformatics, with proficiency in programming languages such as Python, R, or similar.
  • Experience with state-of-the-art AI and machine learning approaches for biological data analysis.
  • Excellent problem-solving skills and the ability to work independently and in collaborative, multidisciplinary environments.
  • Experience designing, conducting, and interpreting the results of laboratory experiments
  • Effective written and verbal communication skills.
  • Ability to apply systems-level thinking to holistic biodefense solutions.
Valued Experience

Valued Experience:

  • High-performance computing, bioinformatics, and data analytics
  • Biosurveillance (e.g., epidemiology, physiological monitoring, environmental sampling)
  • Medical countermeasure / pharmaceutical development
  • Experience with genetic and/or protein language models
  • Willing to obtain and maintain a Top Secret level DoD security clearance

Recent Graduate Hiring Range: $100,200 - $120,000

Experienced Hiring Range: $100,200 - $150,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42990 

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