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Bioinformatics Postdoc information

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$46.8K

$194.3K

$382K

How much do bioinformatics postdoc jobs pay per year?

As of Aug 14, 2026, the average yearly pay for bioinformatics postdoc in Houston, TX is $194,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $382,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a bioinformatics postdoc?

To thrive as a Bioinformatics Postdoc, you need advanced knowledge in computational biology, genomics, and statistical analysis, usually backed by a PhD in bioinformatics or a related field. Expertise with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with high-performance computing are typically required. Strong analytical thinking, problem-solving abilities, and effective scientific communication set exceptional candidates apart. These skills and qualities are crucial for driving research innovation, interpreting complex biological data, and collaborating successfully within multidisciplinary teams.

What are some common challenges faced by bioinformatics postdocs when working on interdisciplinary projects?

Bioinformatics Postdocs often collaborate with researchers from diverse backgrounds such as biology, computer science, and statistics. A common challenge is bridging communication gaps between disciplines, as each field has its own terminology and expectations. Additionally, integrating complex biological data with computational pipelines requires both technical expertise and adaptability. Staying current with rapidly evolving bioinformatics tools and ensuring reproducibility of analyses are also key aspects to manage in these collaborative environments.

What is a bioinformatics postdoc?

Bioinformatics postdocs are researchers who have completed their PhD and are engaged in advanced, temporary research positions focusing on bioinformatics. Their work typically involves the application of computational and statistical techniques to analyze biological data, such as genomics, transcriptomics, or proteomics datasets. Bioinformatics postdocs often work in academic, governmental, or industry labs, contributing to projects like disease gene discovery, drug development, or evolutionary studies. These positions are designed to further develop research skills, publish scientific papers, and prepare for independent research or faculty roles.

What are popular job titles related to Bioinformatics Postdoc jobs in Houston, TX?

For Bioinformatics Postdoc jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Postdoc jobs in Houston, TX look for?

The top searched job categories for Bioinformatics Postdoc jobs in Houston, TX are:

Bioinformatics Postdoc jobs near you
Infographic showing various Bioinformatics Postdoc job openings in Houston, TX as of August 2026, with employment types broken down into 68% Full Time, 30% Part Time, and 2% Contract. Highlights an 54% Physical, 3% Hybrid, and 43% Remote job distribution, with an average salary of $194,306 per year, or $93.4 per hour.

Postdoctoral Associate - Computational biology and Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$63K/yr

Full-time

Posted 7 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

188th of 618 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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