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Biomedical Computing Jobs in Texas (NOW HIRING)

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

Experience working in a high-performance computing environment (Unix/Linux) using state-of-the-art ... to biomedical data, are encouraged to apply. Some understanding of databases related to several of ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

Experience working in a high-performance computing environment (Unix/Linux) using state-of-the-art ... to biomedical data, are encouraged to apply. Some understanding of databases related to several of ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

Experience working in a high-performance computing environment (Unix/Linux) using state-of-the-art ... to biomedical data, are encouraged to apply. Some understanding of databases related to several of ...

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Biomedical Computing information

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$29

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How much do biomedical computing jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for biomedical computing in Texas is $29.11, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $32.69 per hour, depending on experience, location, and employer.

What jobs does a biomedical degree get you?

A biomedical degree can lead to roles such as biomedical engineer, research scientist, clinical data analyst, or medical device developer. These jobs often require knowledge of biology, engineering, and computer programming, and may involve working in laboratories, hospitals, or research institutions.

What is a Biomedical Computing job?

A Biomedical Computing job involves applying computational techniques to analyze and solve problems in biology, medicine, and healthcare. Professionals in this field develop software, algorithms, and models to process medical data, support diagnostics, and enhance healthcare technologies. They often work with medical imaging, bioinformatics, or electronic health records to improve patient care and research. This role requires expertise in computer science, data analysis, and biomedical sciences.

What jobs can you do with biomedical?

With a background in biomedical computing, you can pursue roles such as biomedical software engineer, bioinformatics analyst, medical imaging specialist, or healthcare data scientist. These jobs often require skills in programming, data analysis, and knowledge of biological or medical systems, and may involve working in research labs, hospitals, or biotech companies.

What are the key skills and qualifications needed to thrive in the Biomedical Computing position, and why are they important?

To thrive in Biomedical Computing, you need a strong background in computer science, mathematics, and biology, often supported by a relevant degree such as bioinformatics, biomedical engineering, or computer science. Proficiency in programming languages (such as Python, R, or MATLAB), experience with data analysis tools, and familiarity with healthcare data standards (like HL7 or DICOM) are typically required. Strong problem-solving, attention to detail, and the ability to communicate complex technical concepts to interdisciplinary teams are valuable soft skills. These competencies enable professionals to develop and implement computational solutions that support medical research, clinical decision-making, and improved patient care.

What can you do with a biomedical computation degree?

A biomedical computing degree prepares individuals for roles such as biomedical data analyst, bioinformatics specialist, or computational biologist. Graduates can work in research institutions, healthcare companies, or biotech firms, utilizing skills in programming, data analysis, and modeling to develop medical solutions and improve patient care.

What are the typical daily responsibilities of someone working in Biomedical Computing?

Professionals in Biomedical Computing often spend their days designing and developing algorithms for processing biological or medical data, writing code to support research projects, and collaborating closely with clinicians and researchers. They may also be responsible for managing large databases, performing complex data analyses, and ensuring the security and integrity of sensitive healthcare information. Regular meetings with cross-functional teams, preparing data visualizations, and staying updated with the latest advancements in biomedical technology are also common. This mix of technical and collaborative tasks makes the role both intellectually stimulating and impactful in improving healthcare outcomes.

What is the highest paying job in biomedicine?

In biomedical computing, senior roles such as biomedical informatics directors or chief scientific officers tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced degrees, extensive experience, and expertise in data analysis, programming, and healthcare systems.
What are popular job titles related to Biomedical Computing jobs in Texas? For Biomedical Computing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Biomedical Computing jobs in Texas look for? The top searched job categories for Biomedical Computing jobs in Texas are:
Biomedical Computing jobs near you
Infographic showing various Biomedical Computing job openings in Texas as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $60,541 per year, or $29.1 per hour.
Research Scientist I, Moody Brain Health Institute

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX • On-site, Remote

Other

Posted 23 days ago

UTMB Health rating

7.4

Company rating: 7.4 out of 10

Based on 166 frontline employees who took The Breakroom Quiz

256th of 877 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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