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Bioinformatics Machine Learning Jobs in Texas (NOW HIRING)

Master's degree in quantitative discipline, such as computer science, engineering, data science, bioinformatics, statistics, mathematics, machine learning or related field. * Proficient in data ...

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Bioinformatics Machine Learning information

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$55.4K

$88K

$139.3K

How much do bioinformatics machine learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for bioinformatics machine learning in Texas is $88,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $120,600.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Machine Learning job?

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.

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 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:
Infographic showing various Bioinformatics Machine Learning job openings in Texas as of May 2026, with employment types broken down into 98% Full Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $88,017 per year, or $42.3 per hour.
Computer Programmer II (Biochemistry & Molecular Biology - Galveston)

Computer Programmer II (Biochemistry & Molecular Biology - Galveston)

UTMB Health

Galveston, TX • On-site

Full-time

Posted 17 days ago


UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

293rd of 869 rated healthcare providers


Job description

Minimum Qualifications:
Associate's degree or equivalent in related field and one-year related experience.
PREFERRED QUALIFICATIONS:
  • Bachelor's or Master's degree in bioinformatics, computational biology, computer science, genomics, physics, or a related field (or equivalent practical experience)
  • Strong programming skills
  • Background in machine learning or statistical modeling (e.g., clustering, representation learning, deep learning)
  • Familiarity with Linux/HPC environments and version control (e.g., Git)
  • Experience working with NGS data and large biological datasets
  • Experience with tools for comparative genomics across multiple species (alignment software, comparative browser, etc.)
  • Experience working with genome assemblies, liftover, or cross-species alignment
  • Familiarity with visualization of large genomic datasets (2D contact maps, embeddings, interactive browsers)

Job Summary:
To provide technical skills in the preparation and use of programs for the solution of
problems by electronic computers.
Job Duties:
  • Develops new programs.
  • Verifies solutions.
  • Prepares description of program, flow charts and block diagrams.
  • Prepares program documentation and operating instructions for new programs.
  • Modifies existing programs.
  • Adheres to internal controls established for departments.
  • Performs related duties as required.

DEPARTMENT MARKETING STATEMENT:
We are seeking a highly motivated programmer to support computational analysis of Hi-C and other sequencing datasets, with a particular focus on comparative genome organization across multiple species under the umbrella of the DNA Zoo Consortium (dnazoo.org). This role is ideal for someone who enjoys working at the intersection of genomics, chromatin architecture (1D and 3D), and data science, and who wants hands-on involvement in large, cross-species projects.
Salary Range:
Actual salary commensurate with experience or range if discussed and approved by hiring authority.
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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