Research Scientist

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact [email protected]. If you have questions while submitting an application, please review these frequently asked questions.

Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.

Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

• Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.

• Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.

Job Title:

Department:

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:

Position Type:

Scheduled Hours:

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.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.

The university is an equal opportunity employer, including veterans and disability.