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$45.7K

$189.6K

$372.7K

How much do bioinformatics associate jobs pay per year?

As of Jun 14, 2026, the average yearly pay for bioinformatics associate in Texas is $189,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $372,700.00 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 Texas? The most popular types of Bioinformatics jobs in Texas are:
What are popular job titles related to Bioinformatics Associate jobs in Texas? For Bioinformatics Associate jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Associate jobs in Texas look for? The top searched job categories for Bioinformatics Associate jobs in Texas are:
What cities in Texas are hiring for Bioinformatics Associate jobs? Cities in Texas with the most Bioinformatics Associate job openings:
Bioinformatics Associate jobs near you
Postdoctoral Associate - AI for Brain Tumors

Postdoctoral Associate - AI for Brain Tumors

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Posted 20 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

Job Title: Postdoctoral Associate - AI for Brain Tumors
Division: Neurosurgery
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Postdoctoral Associate will develop next-generation AI models for large-scale perturbation modeling in brain tumors. The project will involve building and applying state-of-the-art machine learning approaches, including foundation models, variational autoencoders (VAEs), and transformer-based architectures, to integrate single-cell and multi-omic datasets. The goal is to decode tumor cellular heterogeneity and tumor microenvironment interactions, and to identify targetable genes, pathways, and therapeutic strategies at single-cell resolution.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Develops and implements AI models for perturbation prediction:
    • Designs, trains, and evaluates machine learning models (e.g., transformer-based architectures, VAEs, and foundation models) to predict cellular responses to genetic and pharmacologic perturbations. This includes preprocessing large-scale single-cell and multi-omic datasets, defining model architectures, optimizing training pipelines on GPU clusters, and benchmarking against existing methods.
  • Integrate and analyze large-scale single-cell and multi-omic:
    • Processes and harmonizes scRNA-seq, scATAC-seq, and related datasets across brain tumor cohorts.
    • Performs downstream analyses such as cell state annotation, pathway enrichment, and tumor-tumor microenvironment interaction modeling to generate biologically meaningful insights.
  • Leads computational research projects and method development.
  • 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 Computational Biology, Bioinformatics, Computer Science or a related quantitative field.
  • Strong background in machine learning and statistical modeling, with experience in deep learning frameworks (e.g., PyTorch or TensorFlow). Familiarity with modern architectures such as transformers, variational autoencoders (VAEs), and foundation models is highly desirable.
  • Experience in analyzing large-scale genomics or single-cell datasets (e.g., scRNA-seq, scATAC-seq).
  • Proficiency in Python and experience with R/Seurat or Scanpy.
  • Strong skills in writing efficient, reproducible, and well-documented code.
  • Evidence of productivity through first-author publications or preprints in computational biology, machine learning, or related fields.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
PD; SN
Requisition ID: 24929

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