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$34.5K

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$149K

How much do volunteer computational biology postdoc jobs pay per year?

As of Aug 22, 2026, the average yearly pay for volunteer computational biology postdoc in the United States is $70,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What is the difference between Volunteer Computational Biology Postdoc vs Research Scientist in Computational Biology?

AspectVolunteer Computational Biology PostdocResearch Scientist in Computational Biology
Required CredentialsPhD in Computational Biology, Bioinformatics, or related fieldPhD in relevant field, often with additional experience
Work EnvironmentAcademic labs, research projects, often unpaid or volunteer basisResearch institutions, biotech companies, paid position
Employer & Industry UsageUniversities, research institutes, non-profit organizationsPrivate sector, academia, industry research teams
Search & Comparison IntentUnderstanding volunteer research roles, academic opportunitiesCareer advancement, paid research roles in industry or academia

The Volunteer Computational Biology Postdoc typically involves unpaid research work in academic or non-profit settings, focusing on gaining experience and contributing to scientific projects. In contrast, a Research Scientist in Computational Biology is a paid role with more responsibilities, often in industry or well-funded research institutions, emphasizing career progression and applied research.

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Cities with the most Volunteer Computational Biology Postdoc job openings:

What are the most commonly searched types of Computational Biology Postdoc jobs?

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Volunteer Computational Biology Postdoc jobs near you
Infographic showing various Volunteer Computational Biology Postdoc job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $70,267 per year, or $33.8 per hour.

Postdoctoral Associate - Computational biology and Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$63K/yr

Full-time

Posted 15 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 621 rated colleges and universities

Job description

Postdoctoral Associate - Computational biology and Bioinformatics
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $63,480
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis. The Postdoctoral Associate should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoctoral Associate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development. Baylor College of Medicine is located at the Texas Medical Center, which is the largest medical complex in the world and provides an ideal environment for scientific and clinical research.
A Postdoctoral Associate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development.
This position offers a highly collaborative, team-based setting with opportunities for advanced training, mentorship, and career development.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
  • Collaborates closely with experimental biologists and clinicians to design studies., validate computational findings, and support translational applications of research discoveries.
  • Participates in regular joint meetings to present findings, discuss ongoing projects, and align research strategies with lab and departmental priorities.
  • Assists in mentoring and training of junior researchers in computational techniques and bioinformatics best practices.
  • Translates complex computational results into biologically meaningful insights in collaboration with wet-lab teams.
  • Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments.
  • Collaborates with experimental biologists and clinicians in the Cheng lab to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
  • Designs, analyses, interprets complex datasets, and translates findings into biologically meaningful insights within a multidisciplinary research environment.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).
  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in R/Matlab/PerlPython.
  • Knowledge of basic molecular biology, genomics, and epigenetics.
  • Experience in next-generation sequencing data and scRNA-seq data.

Requisition ID: 25952

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