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Bioinformatics Postdoctoral Jobs in Texas (NOW HIRING)

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How much do bioinformatics postdoctoral jobs pay per year?

As of Sep 14, 2026, the average yearly pay for bioinformatics postdoctoral in Texas is $54,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $62,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics postdoctoral?

A Bioinformatics Postdoctoral job is a research-focused position for individuals who have recently earned a Ph.D. in bioinformatics, computational biology, or a related field. Postdocs work on advanced computational and statistical methods to analyze biological data, often collaborating with interdisciplinary teams. Responsibilities may include developing algorithms, analyzing genomic or transcriptomic data, and contributing to scientific publications. These positions are typically temporary, lasting two to five years, and serve as a bridge to independent research roles or industry positions.

What types of research projects do bioinformatics postdoctoral researchers typically work on?

Bioinformatics Postdoctoral researchers often engage in projects involving large-scale genomics, transcriptomics, or proteomics data analysis, such as identifying disease-associated genetic variants or understanding gene expression patterns. Their daily responsibilities may include developing new algorithms, running computational analyses, and interpreting complex biological datasets in collaboration with experimental scientists. Team structures can vary, but most positions involve close interaction with both computational and laboratory researchers, providing an interdisciplinary work environment. Participation in publishing research findings and presenting at conferences is also common, offering valuable experience and professional growth.

What are the key skills and qualifications needed to thrive in the bioinformatics postdoctoral position, and why are they important?

To excel as a Bioinformatics Postdoctoral, you should possess a Ph.D. in bioinformatics, computational biology, or a related field, along with strong analytical and programming skills. Experience with software tools like R, Python, Linux/UNIX, high-throughput sequencing platforms, and bioinformatics databases is typically expected. Outstanding problem-solving abilities, communication skills, and collaborative spirit help distinguish top candidates. These competencies are crucial for effectively designing experiments, analyzing complex biological data, and contributing to multidisciplinary research teams.

What are popular job titles related to Bioinformatics Postdoctoral jobs in Texas?

For Bioinformatics Postdoctoral jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Postdoctoral jobs in Texas look for?

The top searched job categories for Bioinformatics Postdoctoral jobs in Texas are:

What cities in Texas are hiring for Bioinformatics Postdoctoral jobs?

Cities in Texas with the most Bioinformatics Postdoctoral job openings:

Bioinformatics Postdoctoral jobs near you
Infographic showing various Bioinformatics Postdoctoral job openings in Texas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $54,988 per year, or $26.4 per hour.

Postdoctoral Associate - Cancer Epidemiology

Houston, TX • On-site

Baylor College of Medicine
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about Baylor College of Medicineexternal

Full-time

Re-posted 19 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

Job description

Summary

The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position for our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. 

Job Duties
  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research questions.
  • Uses state-of-the-art bioinformatical and statistical tools
  • Develops new statistical methods to answer biological questions that arise in the research.
  • Prepares manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Ensures compliance with institutional, sponsor and data security guidelines for handling sensitive genomic and clinical data.
  • Conducts advanced analysis of large-scale biomedical and population health datasets to support ongoing research within the section.
  • Collaborates with multidisciplinary teams, including faculty investigators, statisticians, clinicians, and trainees, in a highly team-oriented research environment.
  • Participates in the Section's sponsored training program by contributing to collaborative projects, mentoring trainees, and engaging in programmatic activities such as seminars, workshops, and collaborative research initiatives.
  • Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Ph.D. in Epidemiologists or Bioinformaticians or M.D.s/DVMs with related experience.
  • Has the ability to work in a team environment.
  • Experience with next generation sequencing data analysis is a plus.
  • Knowledge in cancer biology or genetics is preferable.
  • Excellent writing skills in English. 

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