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Biomedical Data Engineer Jobs in Columbus, OH (NOW HIRING)

... data pertaining to any special assignments Regulatory Compliance - 25% * Ensure the accuracy and ... Minimum 5 years' experience working with biomedical equipment in a clinical engineering environment

... data pertaining to any special assignments Regulatory Compliance - 25% * Ensure the accuracy and ... Minimum 5 years' experience working with biomedical equipment in a clinical engineering environment

... data pertaining to any special assignments Regulatory Compliance - 25% * Ensure the accuracy and ... Minimum 5 years' experience working with biomedical equipment in a clinical engineering environment

Senior Engineer - Modeling & Simulation

New Albany, OH ยท On-site

$100K - $137K/yr

... Data Science, Regulatory, and Digital Technology teams to deliver enterprise-level modeling ... OR Master's degree in Mechanical engineering, Biomedical Engineering, or Civil Engineering and 2 ...

Post Doctoral Scholar

Columbus, OH ยท On-site

$47K - $64K/yr

... data science. The current focuses of our group include biohybrid lipid nanoparticle platform ... PhD degree in pharmaceutical sciences, chemical and biomedical engineering or equivalent ...

Post-Doctoral Researcher

Columbus, OH ยท On-site

$112K/yr

... data-primarily intraoral radiographs-integrated with clinical and behavioral data collected from ... PhD in computer science, biomedical informatics, electrical engineering, or a related field

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Biomedical Data Engineer information

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$15

$60

$85

How much do biomedical data engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for biomedical data engineer in Columbus, OH is $60.83, according to ZipRecruiter salary data. Most workers in this role earn between $51.78 and $68.51 per hour, depending on experience, location, and employer.

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 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 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 Columbus, OH?

For Biomedical Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Engineer jobs in Columbus, OH look for?

The top searched job categories for Biomedical Data Engineer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Biomedical Data Engineer jobs?

Cities near Columbus, OH with the most Biomedical Data Engineer job openings:

Infographic showing various Biomedical Data Engineer job openings in Columbus, OH as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $126,533 per year, or $60.8 per hour.

Post Doctoral Scholar - Biomedical Informatics

Columbus, OH โ€ข On-site

The Ohio State University
Scientific Research and Development Servicesย โ€ขย 51 - 200 employees

$44K - $60K/yr

Full-time

Posted 24 days ago


Job description

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Job Title:
Post Doctoral Scholar - Biomedical Informatics
Department:
Medicine | School Biomed Sci - Biomedical Informatics
Post Doctoral Researcher to pursue specialized research training and experience under the guidance of a scientific mentor in the Department of Biomedical Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in identifying new biomedical data analysis technology and trends; participates as a team member with lab staff, collaborative researchers, and students and to interpret data and discuss project progress; collaborates with other researchers in determining research priorities and planning programs of research; performs relevant published literature searches; assists with writing and submitting grant proposals to obtain extramural funding agencies; writes and prepares research manuscripts, articles, abstracts, and project reports; presents ongoing work and findings at local, national, and international conferences.
Requirements
Ph.D. degree in one of the following areas: Computer Science, Computer Science and Technology, or other disciplines with strong quantitative background.
Proficiency in at least one programming language, such as R, C, Python or MATLAB, is strongly preferred; knowledge in genomics, genetics, or proteomics is desired but not required.
Additional Information:
Location:
Lincoln Tower (0271)
Position Type:
Term (Fixed Term)
Scheduled Hours:
40
Shift:
First Shift
Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
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