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Computational Drug Design Jobs in Ohio (NOW HIRING)

Post Doctoral Scholar

Columbus, OH · On-site

$62K - $65K/yr

... computational modeling, and high-field NMR spectroscopy. The research will focus on the structural ... A drug screen or physical may be required during the post offer process. Thank you for your ...

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Computational Drug Design information

What is computational drug design?

Computational drug design is the use of computer-based methods and simulations to discover, develop, and optimize new pharmaceutical compounds. This field combines chemistry, biology, and computer science to model how potential drug molecules interact with biological targets, such as proteins or enzymes. Techniques like molecular docking, virtual screening, and molecular dynamics are commonly used to predict the efficacy and safety of new drugs before laboratory testing. By leveraging computational tools, researchers can significantly speed up the drug discovery process and reduce costs.

What are the key skills and qualifications needed to thrive as a computational drug design scientist?

To thrive as a Computational Drug Design scientist, you need a strong background in chemistry, biology, and computer science, typically supported by an advanced degree (e.g., PhD) in a related field. Proficiency with molecular modeling software, cheminformatics tools, and programming languages such as Python or R is essential, along with familiarity with databases like PDB and software such as Schrödinger or MOE. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate computational findings into actionable insights for multidisciplinary teams. These competencies are crucial for efficiently identifying promising drug candidates and supporting data-driven decision-making in pharmaceutical research.

What are some common challenges faced in a computational drug design role, and how can they be addressed?

Professionals in Computational Drug Design often encounter challenges such as managing large and complex datasets, integrating diverse software tools, and ensuring accurate modeling of biological systems. Addressing these challenges typically involves continuous learning to stay updated with the latest algorithms and software, collaborating closely with experimental scientists, and developing strong data management practices. Effective communication and teamwork are also essential, as the role frequently involves working in multidisciplinary teams to translate computational findings into actionable experimental strategies.

What is the difference between Computational Drug Design vs Medicinal Chemist?

AspectComputational Drug DesignMedicinal Chemist
Required CredentialsDegree in Chemistry, Bioinformatics, or related field; strong computational skillsDegree in Chemistry, Organic Chemistry, or related field; laboratory experience
Work EnvironmentResearch labs, pharmaceutical companies, biotech firms; primarily computer-basedLaboratories, pharmaceutical companies; hands-on chemical synthesis and analysis
Industry UsageDrug discovery, virtual screening, molecular modeling

Computational Drug Design focuses on using computer simulations and modeling to identify potential drug candidates, while Medicinal Chemists are involved in synthesizing and testing chemical compounds in the lab. Both roles are essential in the drug development process but differ in their methods and work environments.

What cities in Ohio are hiring for Computational Drug Design jobs?

Cities in Ohio with the most Computational Drug Design job openings:

Infographic showing various Computational Drug Design job openings in Ohio as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Post Doctoral Scholar

The Ohio State University

Columbus, OH • On-site

Full-time

Re-posted yesterday


Job description

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Job Title:
Post Doctoral Scholar
Department:
Veterinary Medicine | Veterinary Biosciences
The Xu Lab at the Center for Retrovirus Research in The Ohio State University is seeking a highly driven Postdoctoral Scholar (recent PhD) with demonstrated expertise in cryo-electron microscopy and/or X-ray crystallography and a strong publication record. Our research focuses on uncovering the molecular mechanisms governing glycoprotein conformational dynamics and antibody-antigen interactions in cancer and viral diseases, with the goal of advancing therapeutic and vaccine design. The successful candidate will lead structure-based studies of glycoproteins, antibodies, and their complexes, taking projects from protein production through high-resolution structure determination and mechanistic interpretation. This role requires a hands-on, detail-oriented scientist who can execute efficiently, troubleshoot independently, and consistently deliver high-quality, publication-ready results. The postdoc will work in a fast-paced, collaborative environment, contribute to high-impact manuscripts and grant efforts, and have the opportunity to develop independent research directions. We are looking for individuals with a strong work ethic, intellectual curiosity, and a proven track record of productivity who are eager to tackle challenging and impactful problems in structural biology and translational science.
Additional Information:
MINIMUM QUALIFICATIONS AND EDUCATION:
Recent Ph.D. graduate in Structural Biology field. Demonstrated expertise in cryo-electron microscopy (cryo-EM) and/or X-ray crystallography, supported by a strong publication record in peer-reviewed journals. Proven hands-on experience in recombinant protein expression and purification, and structural analysis of macromolecular complexes. Ability to work independently with a high level of rigor and responsibility, while contributing effectively in a collaborative, multidisciplinary team environment. Excellent written and oral communication skills, with a strong record of scientific productivity.
DESIRED QUALIFICATIONS AND EDUCATION:
Skillful with cryo-EM data processing and structural refinement software (e.g., cryoSPARC, RELION, Phenix, Coot). Expertise in computational modeling and structure-based protein engineering. Strong interest in AI-based protein design approaches. Prior research experience in glycoproteins and antibody-antigen interactions. Experience with membrane protein expression and purification, including reconstitution in nanodiscs (preferred but not required).
WORKING CONDITIONS:
This position will be based in a research laboratory environment with standard laboratory conditions. Must be able to work at a computer for extended periods for data analysis, molecular modeling, and manuscript preparation. May require occasional work with biological samples, including recombinant proteins and antibodies. Use of specialized equipment such as FPLC, BLI and cryo-EM sample preparation instruments. Adherence to safety protocols for handling biological and chemical reagents. Occasional evening or weekend work may be required based on experimental timelines.
Location:
Goss Laboratory (0180)
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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