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Bioinformatics Data Scientist Jobs in Texas (NOW HIRING)

Battelle

Data Scientist II

San Antonio, TX · On-site

... data science, bioinformatics and relevant work experience requiring computer programming. * Demonstrated proficiencies in computer programming and statical analysis (e.g., Python, R, SPSS). * At ...

Baylorgenetics

AD Scientific Innovation

Houston, TX · On-site

$140 - $180/hr

Define and execute the bioinformatics innovation ideas. * Identify emerging technologies in ... Experience with large-scale genomic databases and real-world clinical data. * Track record of ...

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All JobsBioinformatics Data Scientist JobsBioinformatics Data Scientist Jobs in Texas

Bioinformatics Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do bioinformatics data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for bioinformatics data scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What are the key skills and qualifications needed to thrive as a bioinformatics data scientist?

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Texas?

The most popular types of Bioinformatics Data Scientist jobs in Texas are:

What are popular job titles related to Bioinformatics Data Scientist jobs in Texas?

For Bioinformatics Data Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Scientist jobs in Texas look for?

The top searched job categories for Bioinformatics Data Scientist jobs in Texas are:

What cities in Texas are hiring for Bioinformatics Data Scientist jobs?

Cities in Texas with the most Bioinformatics Data Scientist job openings:

Bioinformatics Data Scientist jobs near you
Infographic showing various Bioinformatics Data Scientist job openings in Texas as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX • On-site, Remote

Full-time

Re-posted 26 days ago

Key responsibilities

  • Design, implement, and validate computational models that simulate individual brain and health states across the lifespan.

  • Integrate multi-modal patient data, including neuroimaging, electrophysiology, genomics, digital biomarkers, and electronic health records, to create predictive digital twins.

  • Support research initiatives by developing predictive models, contributing to grant proposals and publications, and presenting findings at conferences.

UTMB Health rating

7.2

Company rating: 7.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

345th of 898 rated healthcare providers

Job description

JOB SUMMARY

The Research Scientist will lead research and development focused on digital twin modeling for brain health and health trajectory prediction within the Moody Brain Health Institute. This role involves designing, implementing, and validating computational models that simulate individual brain and health states across the lifespan. The scientist will integrate multi-modal patient data, including neuroimaging, electrophysiology, genomics, digital biomarkers, and electronic health records (EHRs), to create predictive digital twins capable of informing early diagnosis, personalized interventions, and resilience modeling. The position combines data science, neuroscience, and translational health research to advance precision brain health. They will also contribute to development of grant proposals, and scholarly publications.

 

ESSENTIAL JOB FUNCTIONS

         Execute the core's research initiatives, advancing key projects and objectives.

         Design and implement predictive models based on patient data to support research and clinical applications.

         Lead the development of virtual patient models to advance personalized medicine and data-driven research.

         Develop comprehensive data extraction strategies for Electronic Health Record (EHR) data, ensuring efficient and accurate analysis.

         Integrate multi-scale data sources such as neuroimaging, omics, cognitive, behavioral, and EHR data to build comprehensive individual-level representations.

         Present research findings and core activities at both internal and external conferences, symposia, and workshops.

         Support grant applications and publications, highlighting innovations in digital twin technologies for brain health.

         Contribute to infrastructure planning, including computing resources, secure data management, and AI model governance.

         Partner with the core director to plan resources and training for the development of AI tools and technologies.

 

KNOWLEDGE/SKILLS/ABILITIES

         Excellent communication and interpersonal skills with a high degree of professionalism. 

         Experience with high-throughput data analysis.

         Proficiency in AI, deep learning, and data fusion techniques for multimodal health data.

         Familiarity with federated or privacy-preserving learning for healthcare applications.

         Excellent communication and collaboration skills, with the ability to convey complex bioinformatics concepts to non-experts.

         Strong analytical skills and a proactive approach to problem resolution.

         Excellent decision-making skills.

EDUCATION & EXPERIENCE

Minimum Qualifications:

         PhD in Bioinformatics, Data Science, Biomedical Informatics, or a related biomedical field.

         Proven experience in Artificial Intelligence and/or statistical modeling,

         Familiarity with EHR data extraction, and analysis.

         Excellent communication skills and ability to collaborate with interdisciplinary teams.

 

Preferred Qualifications:

         Experience in working with AI and machine learning models, particularly in the biomedical context.

         Experience in digital twin frameworks, personalized modeling, or health trajectory prediction.

         Proven ability to lead collaborative, data-driven projects across disciplines.

         Prior involvement in leading or managing research projects.


SALARY:
Commensurate with experience. 
 

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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