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Biomedical Engineering Research Jobs Near Me

... chemical biology, biomedical engineering, statistics, data science, or a related field. * Strong background in AI/ML methods applied to biomedical, chemical, or pharmaceutical research.

Post Doctoral Scholar

Columbus, OH

$47K - $64K/yr

D. in Psychology, Neuroscience, Biomedical Engineering, Kinesiology, or a closely related field by ... Experience working with randomized controlled trial (RCT) data or intervention research.

Research Senior Technician

Columbus, OH ยท On-site

$17.50 - $24/hr

... biomedical research, including tissue engineering, biomaterials, and in vivo models, as directed by the Department of Plastic & Reconstructive Surgery. The role involves independently conducting ...

Post Doctoral Scholar

Columbus, OH ยท On-site

$47K - $64K/yr

Interested applicants should submit a CV and a cover letter that explains desired research direction. Minimum Education Required PhD in chemistry, physics, biomedical engineering, or other related ...

Post Doctoral Scholar

Columbus, OH ยท On-site

$44K - $60K/yr

Interested applicants should submit a CV and a cover letter that explains desired research direction. Minimum Education Required PhD in chemistry, physics, biomedical engineering, or other related ...

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How much do biomedical engineering research jobs pay per year?

As of Sep 15, 2026, the average yearly pay for biomedical engineering research in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

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A map of the United States highlighting the number of Biomedical Engineering Research job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Biomedical Engineering Research job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Research Scientist

Columbus, OH โ€ข On-site

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

Full-time

Re-posted 8 days ago


Job description

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Job Title:Research ScientistDepartment:Pharmacy | Medicinal Chemistry

The Computational Scientist - AI-Driven Drug Discovery will support the Buckeye BioLaunch initiative, a university-wide effort designed to accelerate therapeutic discovery, development, and commercialization through AI-enabled approaches.

The successful candidate will develop, implement, and apply computational, machine learning, cheminformatics, structural modeling, and data science approaches to identify and optimize therapeutic candidates. This individual will work closely with faculty investigators, medicinal chemists, biologists, clinicians, pharmacologists, translational scientists, and commercialization teams to advance AI-driven drug discovery projects. The position will contribute to multidisciplinary project teams supporting therapeutic programs across disease areas.

This role is expected to serve as a core scientific contributor within Buckeye BioLaunch, enabling data-driven decision-making across early discovery and translational development. The scientist will help design computational workflows, analyze large-scale biological and chemical datasets, support virtual screening and molecular design campaigns, evaluate target tractability and druggability, and contribute to the development of reproducible computational platforms that accelerate therapeutic innovation.

Required Education/Experience:

  • PhD or equivalent doctoral degree in computational chemistry, computational biology, cheminformatics, bioinformatics, computer science, pharmaceutical sciences, biophysics, chemical biology, biomedical engineering, statistics, data science, or a related field.

  • Strong background in AI/ML methods applied to biomedical, chemical, or pharmaceutical research.

  • Demonstrated experience in computational drug discovery, cheminformatics, molecular modeling, virtual screening, or structure-based drug design.

Desired Experience:

  • Experience with generative AI methods for molecular design, graph neural networks, protein language models, foundation models, active learning, Bayesian optimization, or reinforcement learning.

  • Experience with protein structure prediction, protein-ligand interaction modeling, AlphaFold-derived structures, cryo-EM or crystallographic data, or structural bioinformatics.

  • Experience with ADMET modeling, toxicology prediction, pharmacokinetics/pharmacodynamics modeling, or translational biomarker analysis.

Additional Information:Location:Pelotonia Research Center (1040)Position Type:RegularScheduled 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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The university is an equal opportunity employer, including veterans and disability.