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

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Biomedical Data Science information

See Columbus, OH salary details

$23.5K

$106.6K

$186.9K

How much do biomedical data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for biomedical data science in Columbus, OH is $106,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,518.00 and $150,985.00 per year, depending on experience, location, and employer.

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.

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 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.

Can you become a biomedical data scientist with a biomedical science degree?

A biomedical data scientist typically has a background in biomedical science combined with skills in data analysis, programming, and statistics. While a biomedical science degree provides a strong foundation, additional training in programming languages like Python or R and experience with data management are often necessary to qualify for such roles.

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 popular job titles related to Biomedical Data Science jobs in Columbus, OH?

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

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

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

Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,605 per year, or $51.3 per hour.

Post Doctoral Scholar - Biomedical Informatics

Ohio State University

Columbus, OH • On-site

$47K - $64K/yr

Full-time

Re-posted 3 days ago

Job description

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions.

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Job Title:Post Doctoral Scholar - Biomedical InformaticsDepartment: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:40Shift: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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