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Bioinformatics Machine Learning information

What is a bioinformatics machine learning?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a bioinformatics machine learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

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

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

Do bioinformatics machine learning professionals make a lot of money?

Bioinformatics machine learning professionals often earn competitive salaries due to the specialized skills in data analysis, programming, and biological sciences. Salaries vary based on experience, education, and location, but professionals in this field typically have higher earning potential compared to many other biotech roles. Advanced knowledge of tools like Python, R, and machine learning frameworks can also influence compensation levels.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Texas?

The most popular types of Bioinformatics Machine Learning jobs in Texas are:

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

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

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

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

Bioinformatics Machine Learning jobs near you
Infographic showing various Bioinformatics Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Research Associate I, Biochemistry & Molecular Biology (Galveston)

Galveston, TX • On-site

UTMB Health
See more jobs at UTMB Healthexternal

Full-time

Posted 18 days ago

UTMB Health rating

7.2

Company rating: 7.2 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

Job description

Job Description:

Research Associate I performs varying standardized laboratory assignments and experiments.


Minimum Qualifications:

Bachelor's degree in basic science or equivalent and no experience required.

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Bioinformatics, Computational Biology, Physics, Applied Mathematics, Data Science, or a related quantitative field

  • Strong programming skills in Python

  • Experience with machine learning frameworks such as PyTorch

  • Excellent problem-solving ability and willingness to learn new computational methods

  • Strong written and verbal communication skills

  • Ability to work independently while collaborating effectively within a multidisciplinary team

  • Experience with graph neural networks, deep learning, large language models, or generative AI

  • Experience with computational biology, structural biology, bioinformatics, or biological data analysis

  • Experience with Linux, Git/GitHub, and high-performance computing

  • Familiarity with protein structures, molecular simulations, or omics dataset

 Job Duties:

  • Under direct supervision, performs standard research assignments involving a series of related operations.
  • Sets up and conducts standard research experiments following detailed technical instructions.
  • Prepares biological assays and conducts basic quantitative and qualitative analysis.
  • Maintains records of all tests performed and data collected.
  • Assists in the compilation and tabulation of data and provides preliminary analysis.
  • Assembles, calibrates, operates and makes minor modifications to a variety of laboratory equipment as defined by appropriate guidelines.
  • Adheres to internal controls established for department.
  • Performs related duties as required.

 

Skills:

  • Biological Analysis
  • Quantitative Analysis
  • Qualitative Analysis
  • Tabulation of Data
  • Equipment Calibration
  • Standard Laboratory Equipment


Working Environment:

Standard laboratory environment.

Salary Range:

Commensurate with experience.

Research Associate I (Computational Biology / Machine Learning)
The Zhao Research Group at UTMB is seeking one highly motivated Research Associate to join our growing interdisciplinary research team. Supported by the Welch Foundation and other research programs, our laboratory develops physics-informed AI methods for understanding biological systems, with applications ranging from molecular biophysics and protein interactions to multi-omics integration, disease modeling, and therapeutic discovery.

Our research sits at the intersection of Biophysics AI Computational Biology. We combine structural biology, graph machine learning, protein language models, statistical physics, and systems biology to develop computational methods that address fundamental biological questions and accelerate drug discovery.

Research Areas

Successful candidates will contribute to one or more of the following projects:

  • AI and graph neural networks for protein-protein interaction prediction.
  • Physics-informed machine learning for protein binding affinity prediction.
  • Multi-scale modeling integrating molecular structures, protein interaction networks, and single-cell multi-omics.
  • Large language models and foundation models for biological systems.
  • AI-assisted therapeutic target discovery and disease network analysis.

What We Offer
The Zhao Research Group provides a collaborative and intellectually stimulating environment with opportunities to work on cutting-edge computational biology research. Team members will contribute to method development, software engineering, scientific publications, conference presentations, and collaborative projects with investigators at UTMB and other leading institutions.
 

Outstanding Research Associates interested in pursuing graduate training will receive strong mentorship and opportunities for scientific and professional development.
 

Application

Please send the following materials to hazhao@utmb.edu:

  • Curriculum vitae
  • Brief statement describing your research interests and career goals
  • Contact information for 2-3 references
  • (Optional) GitHub profile or representative code repository

Applications will be reviewed on a rolling basis until the positions are filled.

 EQUAL EMPLOYMENT OPPORTUNITY:

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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