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Bioinformatics Developer Jobs in Houston, TX (NOW HIRING)

Sr Infrastructure Engineer

Houston, TX · On-site

$99K - $135K/yr

Collaborate cross-functionally with bioinformatics, clinical lab, and IT teams to align ... engineering experience in a complex, predominantly on-premises environment. * Deep expertise in ...

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Bioinformatics Developer information

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$41

How much do bioinformatics developer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for bioinformatics developer in Houston, TX is $40.86, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $41.11 per hour, depending on experience, location, and employer.

What are some common challenges faced by Bioinformatics Developers when integrating new data sources into existing pipelines?

Bioinformatics Developers often encounter challenges when integrating new data sources, such as ensuring compatibility with existing pipeline formats, managing diverse data types, and maintaining data quality and integrity. Adapting to rapidly evolving data standards and accommodating large-scale datasets can also be complex, requiring frequent updates and optimization of scripts or software. Collaboration with biologists and data scientists is essential to accurately interpret data requirements and troubleshoot issues, making communication skills and adaptability key in this role.

What is a Bioinformatics Developer?

A Bioinformatics Developer is a professional who combines expertise in biology, computer science, and mathematics to develop software tools and algorithms for analyzing biological data. They often work with genomic, proteomic, or other molecular data to help researchers interpret complex biological information. These developers play a key role in advancing research in areas such as genomics, drug discovery, and personalized medicine by creating efficient computational solutions to process and visualize large datasets.

What are the key skills and qualifications needed to thrive as a Bioinformatics Developer, and why are they important?

To thrive as a Bioinformatics Developer, you need a strong background in biology, computer science, and mathematics, often supported by a degree in bioinformatics, computer science, or a related field. Proficiency with programming languages (such as Python, R, or Java), bioinformatics tools (like BLAST, GATK), and experience with databases and cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex biological data into actionable insights. These skills and qualities are essential for developing robust computational solutions that advance research and innovation in life sciences.
What are popular job titles related to Bioinformatics Developer jobs in Houston, TX? For Bioinformatics Developer jobs in Houston, TX, the most frequently searched job titles are:
Infographic showing various Bioinformatics Developer job openings in Houston, TX as of June 2026, with employment types broken down into 1% Internship, 20% Full Time, 3% Part Time, and 76% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $84,992 per year, or $40.9 per hour.
Postdoctoral Associate

Full-time

Posted 17 days ago


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

51st of 537 rated colleges and universities


Job description

Summary

The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented Postdoctoral Associate 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 Postdoc 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 Postdoc 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. The role includes designing analyses, interpreting complex datasets, and translating findings into biologically meaningful insights within a multidisciplinary research environment.  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, validates computational findings, and supports 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 to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
  • 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).
  • Knowledge of basic molecular biology, genomics, and epigenetics.
  • 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). 
  • Experience in both Bioinformatics/Genomics and Cancer Biology is desirable.
  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in R/Matlab/PerlPython.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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