1

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

Electrical Engineer

Houston, TX · On-site

$83K - $98K/yr

Perform detailed design of electrical, data, and power subsystems including component ... Biomedical) * 5+ years' experience as an electrical engineer with at least 3 years supporting ...

Perform detailed design of electrical, data, and power subsystems including component ... Biomedical) * 5+ years' experience as an electrical engineer with at least 3 years supporting ...

Senior Electrical Engineer

Houston, TX

$102K - $133K/yr

Perform detailed design of electrical, data, and power subsystems including component ... Biomedical) * 10+ years' experience as an electrical engineer with at least 3 years supporting ...

Senior Electrical Engineer

Houston, TX · On-site

$102K - $133K/yr

Perform detailed design of electrical, data, and power subsystems including component ... Biomedical) * 10+ years' experience as an electrical engineer with at least 3 years supporting ...

Perform detailed design of electrical, data, and power subsystems including component ... Biomedical) * 5+ years' experience as an electrical engineer with at least 3 years supporting ...

New

Analyze validation data, identify deviations, and recommend corrective and preventive actions ... Bachelor's degree in Engineering (Chemical, Biomedical, Mechanical, or equivalent) or a related ...

... Data Science team for the Biomedical Research and Environmental Sciences division at the NASA ... Proficiency with probabilistic programming tools such as Stan, R, Python , or equivalent. * Strong ...

... Data Science team for the Biomedical Research and Environmental Sciences division at the NASA ... Proficiency with probabilistic programming tools such as Stan, R, Python , or equivalent. * Strong ...

Showing results 21-40

Biomedical Data Engineer information

See Houston, TX salary details

$15

$60

$84

How much do biomedical data engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for biomedical data engineer in Houston, TX is $60.15, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $67.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biomedical data engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by biomedical data engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is a biomedical data engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in Houston, TX? For Biomedical Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What cities near Houston, TX are hiring for Biomedical Data Engineer jobs? Cities near Houston, TX with the most Biomedical Data Engineer job openings:
Infographic showing various Biomedical Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $125,102 per year, or $60.1 per hour.

$65K - $80K/yr

Full-time

Re-posted 11 days ago


Job description

Title: Human Performance Engineer
Location: NASA Johnson Space Center, Houston, TX
Clearance: National Agency Check and Inquiries (NACI) with ability to obtain a Security Clearance
Citizenship Requirement: U.S. Citizen
Req #: 4064
Salary: $65,000 - $80,000
Summary: Craig Technologies has an opening for a Human Performance Engineer at the NASA Johnson Space Center in Houston, Texas. In this role, you will be a critical member of the Applied Injury Biomechanics (AIB) team in the Anthropometry, Injury Biomechanics and Ergonomics Lab (AIBEL) in the Biomedical Research and Environmental Sciences Division at NASA Johnson Space Center. Our work focuses on understanding human response to dynamic loads, reducing injury risks during spacecraft landings and spacesuit operations, and shaping design requirements that enable safer hardware for astronauts. Specifically, this position is related to modeling of bone as it related to impact loads.
AIBEL works with vehicle, habitat and suit designers across multiple NASA Programs, including the EVA and Human Surface Mobility Program, Commercial Crew Program, International Space Station, Gateway, Human Landing System and Orion. Your work will be cross-disciplinary, interfacing with scientists, engineers, hardware designers and physiologists across the NASA and vendor communities, including peers at other NASA centers.
You Will:
  • Acquire and/or maintain knowledge of applied injury biomechanics related vehicle requirements, success criteria, and verification methods
  • Assist in the development of requirements and verification methods for lunar vehicles
  • Assist with finite element model simulations to evaluate the loads and dynamics imparted on the crewmember by lunar vehicles
  • Assist with reduction and analysis of test data, including appropriate statistical methods
  • Demonstrate a positive problem-solving attitude with an enthusiasm for working as part of an exceptional team
  • Demonstrate a strong work ethic and commitment to the customer and team
  • Serve as a test subject for protocol and hardware evaluations on a volunteer basis
  • Perform other duties as assigned 
  • Must maintain regular and acceptable attendance level as determined by the Company.
What You Bring:
You bring experience with bone finite element modeling and mechanical properties. You use your experience and judgment to assess fracture risk under complex dynamic loading scenarios. You comply with KBR’s Safety, Health and Environmental Plan, Quality Plan, and all safety policies and procedures, and complete all assigned training.
YOUR QUALIFICATIONS:
REQUIRED
  • Bachelor of science in human factors/ergonomics, biomechanics, biomedical engineering, industrial engineering, mechanical engineering, or a related field
  • Must be a US citizen or lawful permanent resident
DESIRED
  • Experience with NASA standards and requirements or similar experience with a broad set of biomechanics, human factors, ergonomics, and anthropometry requirements
  • Experience conducting or supporting human health and performance research
YOUR SKILLS:
REQUIRED
  • Experience related to bone modeling and bone material property assessment
  • Experience with finite element analysis
  • Ability to work as an individual as well as in a team environment
  • Ability to work effectively in a fast paced, rapidly changing environment
  • Excellent written and oral communication skills
  • Demonstrated programming skills (Python/Matlab)
DESIRED
  • Experience with motion capture systems and analysis of kinematic data
  • Solid modeling skills (Blender/Solidworks)
WHAT TO EXPECT:
This position is expected to be 100% on site and 60% in person. Occasional travel may be required.
Craig Technologies is an EEO Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other non-job-related protected status. All candidates selected will be subject to a security background investigation and must meet all eligibility requirements for access to classified information.