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Research Assistant Machine Learning Jobs in Bryan, TX

Job Title Research Specialist Agency Texas A&M Agrilife Research Department Institute for Advancing ... Familiarity with cloud computing, high-performance computing clusters, and machine learning methods.

Job Title Assistant Research Scientist Agency Texas A&M University Department Oceanography Proposed ... Texas A&M University is committed to enriching the learning and working environment by promoting a ...

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Research Assistant Machine Learning information

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How much do research assistant machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for research assistant machine learning in Bryan, TX is $20.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.51 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What job categories do people searching Research Assistant Machine Learning jobs in Bryan, TX look for?

The top searched job categories for Research Assistant Machine Learning jobs in Bryan, TX are:

What cities near Bryan, TX are hiring for Research Assistant Machine Learning jobs?

Cities near Bryan, TX with the most Research Assistant Machine Learning job openings:

Infographic showing various Research Assistant Machine Learning job openings in Bryan, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,020 per year, or $20.2 per hour.

Research Specialist

Tamus

College Station, TX

$5.4K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Job Title

Research Specialist

Agency

Texas A&M Agrilife Research

Department

Institute for Advancing Health Through Agriculture-Precision Nutrition

Proposed Minimum Salary

$5,416.67 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

About the Position

Precision Nutrition in Institute for Advancing Health Through Agriculture (IHA) at Texas A& M University is seeking a highly motivatedResearch Scientist in Bioinformaticsto join a multidisciplinary research team investigating the interactions among nutrition, metabolism, immunity, aging, and chronic diseases.

The successful candidate will lead the analysis and integration of large-scale multi-omics datasets generated from both animal models and human studies.

Job Description Summary

The Research Specialist performs bioinformatics research in a multidisciplinary environment investigating the interactions among nutrition, metabolism, immunity, aging, and chronic diseases. This position leads the analysis and integration of large-scale multi-omics datasets generated from animal models and human studies to support biomedical research and data-driven discovery.

Responsibilities

  • Analyzes and interprets high-throughput sequencing and omics datasets, including:

    • Microbiome (16S rRNA and shotgun metagenomics)

    • Bulk and single-cell RNA sequencing

    • Spatial transcriptomics

    • Proteomics

    • Metabolomics

    • Multi-omics integration analyses

  • Develops and maintains bioinformatics pipelines for data processing and quality control.

  • Collaborates with biologists, nutrition scientists, and clinicians to generate biological insights from complex datasets.

  • Prepares figures, reports, manuscripts, and grant applications.

  • Mentors graduate students and other trainees in computational biology approaches.

  • Contributes to the development of innovative analytical methods and research directions.

Required Qualifications:

  • Bachelor's Degree.

  • Eight years of related experience.

  • Demonstrated experience analyzing next-generation sequencing data.

  • Proficiency in R, Python, Linux/Unix, and statistical analysis.

  • Experience with microbiome, transcriptomics, proteomics, or metabolomics datasets.

  • Strong publication record and excellent communication skills.

Preferred Education and Experience:

  • Master or Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics, Computer Science, Systems Biology, or a related field.

  • Experience with single-cell RNA-seq analysis.

  • Experience with multi-omics integration and systems biology approaches.

  • Familiarity with cloud computing, high-performance computing clusters, and machine learning methods.

  • Experience with pathway enrichment, network analysis, and visualization tools.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums

  • 12-15 days of annual paid holidays

  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month

  • Automatic enrollment in theTeacher Retirement System of Texas

  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

Required Documents

  • CV/ Resume

  • Cover letter

  • List of references

  • Certifications/ additional documentation

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.