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Bioinformatics Associate information

See Houston, TX salary details

$46.8K

$194.3K

$382K

How much do bioinformatics associate jobs pay per year?

As of Aug 1, 2026, the average yearly pay for bioinformatics associate 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 Does a Bioinformatics Associate Do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.

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

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.
More about Bioinformatics Associate jobs
What are the most commonly searched types of Bioinformatics jobs in Houston, TX? The most popular types of Bioinformatics jobs in Houston, TX are:
What are popular job titles related to Bioinformatics Associate jobs in Houston, TX? For Bioinformatics Associate jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Associate jobs in Houston, TX look for? The top searched job categories for Bioinformatics Associate jobs in Houston, TX are:
What cities near Houston, TX are hiring for Bioinformatics Associate jobs? Cities near Houston, TX with the most Bioinformatics Associate job openings:
Bioinformatics Associate jobs near you
Infographic showing various Bioinformatics Associate job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $194,306 per year, or $93.4 per hour.

Postdoctoral Associate - Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$62K - $65K/yr

Full-time

Re-posted 25 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

67th of 614 rated colleges and universities

Job description

Postdoctoral Associate - Bioinformatics
Division: Pediatrics
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232 - $65,000
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
Baylor College of Medicine is seeking a highly motivated Postdoctoral Research Associate for an integrative analysis of transcriptomic, epigenomic, and proteomic large-scale datasets, under the joint supervision of Dr. Cristian Coarfa and Dr. Andrew DiNardo. This is an opportunity for an ambitious scientist committed to advancing their academic career, who demonstrates strong work ethic, exceptional initiative, and an innovative, analytical approach to solving complex scientific problems. The position will involve analysis of DNA methylation, single cell RNA and ATAC sequencing, Fiber-sequencing, and data science approaches to support research aimed at understanding long-term molecular changes induced by infections, in particular tuberculosis and other respiratory infections.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, Metabolomics, and other datasets, generated from tuberculosis patient cohorts with rich clinical data.
  • Performs advanced modeling of post-tuberculosis lung disease risk using approaches including generalized linear models and deep learning.
  • 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
  • Ph.D. in Computer Science, Bioinformatics, or Biology, with a strong background in statistics and familiarity with large datasets such as proteomics or sequencing.
  • Experience in epigenetics or gene regulation is a plus.
  • Experience with statistical analysis tools such as R or Python is required (Candidates will be expected to pass a basic programming test in Python).
  • Excellent written and verbal English skills, strong communication and interpersonal skills, and the ability to work within large collaborative teams.

Requisition ID: 25797

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