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Biomedical Data Science Jobs in Houston, TX (NOW HIRING)

Leidos

Spaceflight Data Scientist (NASA HHPC)

Houston, TX · On-site

$107K - $195K/yr

... Data Science team for the Biomedical Research and Environmental Sciences division at the NASA Johnson Space Center (JSC) in Houston, TX. What You'll Do: In this highly specialized role, you will ...

Leidos

Spaceflight Data Scientist (NASA HHPC)

Houston, TX · On-site

$107K - $195K/yr

... Data Science team for the Biomedical Research and Environmental Sciences division at the NASA Johnson Space Center (JSC) in Houston, TX. What You'll Do: In this highly specialized role, you will ...

Renovo Solutions

Biomedical Supervisor

Houston, TX · On-site

... science partners to deliver better outcomes and quality of life for the communities they serve ... Document all PM and asset management performance data in RenovoLive * Monitor all equipment down ...

Renovo Solutions

Biomedical Supervisor

Houston, TX

... science partners to deliver better outcomes and quality of life for the communities they serve ... Document all PM and asset management performance data in RenovoLive * Monitor all equipment down ...

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All JobsBiomedical Data Science JobsBiomedical Data Science Jobs in Houston, TX

Biomedical Data Science information

See Houston, TX salary details

$23.7K

$107.8K

$189K

How much do biomedical data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for biomedical data science in Houston, TX is $107,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,152.00 and $152,650.00 per year, depending on experience, location, and employer.

What is the difference between Biomedical Data Science vs Bioinformatics?

AspectBiomedical Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biostatistics, or related fields; programming skillsDegree in Bioinformatics, Computational Biology, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, biotech companiesResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large biomedical datasets, developing predictive modelsAnalyzing biological data, genome sequencing, gene annotation
Search & Comparison IntentHigh overlap in data analysis, healthcare applicationsFocus on biological data interpretation

Biomedical Data Science and Bioinformatics share many skills and work environments, but they differ in focus. Biomedical Data Science emphasizes analyzing large datasets and developing predictive models in healthcare, while Bioinformatics concentrates on biological data analysis, such as genome sequencing. Both roles require programming skills and are vital in biomedical research, but their specific applications and industry terminology vary.

How does a biomedical data scientist typically collaborate with clinicians and researchers on interdisciplinary projects?

Biomedical Data Scientists often work closely with clinicians, biologists, and other researchers to translate complex biomedical questions into data-driven solutions. This collaboration usually involves regular meetings to understand clinical needs, define project goals, and discuss data interpretation. Effective communication is key, as team members may have different expertise and perspectives. By collaborating, Biomedical Data Scientists help ensure that analytical methods and results are both rigorous and clinically relevant, ultimately contributing to impactful healthcare outcomes.

What does a biomedical data scientist do?

A biomedical data scientist analyzes complex biological and medical data to identify patterns and insights that can improve healthcare and research. They use statistical methods, machine learning, and data visualization tools to interpret data from sources like electronic health records, genomic sequences, and clinical trials, often working in interdisciplinary teams and requiring programming skills in languages such as Python or R.

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

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a solid understanding of biological or clinical data. Familiarity with bioinformatics tools, data visualization platforms, high-throughput sequencing technologies, and relevant certifications (such as in data science or bioinformatics) is commonly required. Strong problem-solving abilities, communication skills, and interdisciplinary collaboration help set top professionals apart in this field. These competencies are crucial for extracting meaningful insights from complex biomedical data, driving research innovation, and supporting evidence-based healthcare decisions.
What are popular job titles related to Biomedical Data Science jobs in Houston, TX? For Biomedical Data Science jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Science jobs in Houston, TX look for? The top searched job categories for Biomedical Data Science jobs in Houston, TX are:
Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,780 per year, or $51.8 per hour.

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX

Full-time

Re-posted 28 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

265th of 887 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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