Computational Chemistry/Informatics Postdoctoral Fellow: The National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH) is seeking exceptional candidates for a postdoctoral fellow position in computational chemistry/informatics within the Early Translation Branch (ETB) of its Division of Preclinical Innovation. This role offers the opportunity to work with advanced computational techniques to design and develop new therapeutic agents in a collaborative research environment.
Designation:
Postdoctoral Fellow
Research Area:
Computational Chemistry, Informatics, Drug Discovery
Location:
Bethesda, Maryland, USA
Eligibility/Qualifications:
- A doctorate in computational chemistry, cheminformatics, computer sciences, or a related field.
- Strong expertise in molecular modeling techniques, including molecular docking, molecular dynamics simulations, and free-energy perturbation methods.
- Familiarity with artificial intelligence and machine learning (AI/ML) algorithms and experience applying these methods in computational chemistry or drug discovery.
- Proficiency in programming and scripting languages (e.g., Python, R) and experience with software packages (e.g., Schrodinger, OpenEye, MOE).
- Strong analytical skills with a solid understanding of cheminformatics and data-driven approaches in drug discovery.
- Ability to work independently as well as collaboratively in a team-oriented environment.
- Excellent verbal and written communication skills, including a record of publications in peer-reviewed journals.
Job Description:
As a postdoctoral fellow, you will:
- Conduct structure-based and ligand-based drug design studies to identify novel bioactive compounds.
- Apply molecular docking, molecular dynamics, and free-energy calculations to assess compound binding and stability.
- Develop and implement AI/ML models to predict bioactivity and optimize lead compounds.
- Use virtual screening techniques to evaluate large chemical libraries for potential drug candidates.
- Collaborate closely with experimental scientists to guide compound synthesis and biological testing based on computational findings.
- Analyze high-throughput screening data and incorporate cheminformatics approaches to enhance hit identification and lead optimization.
- Present research findings in internal meetings and at scientific conferences, contributing to peer-reviewed publications.
How to Apply:
Interested candidates should submit the following documents:
- A cover letter that includes a research summary and outlines your interest in the position.
- A current curriculum vitae with a complete bibliography.
- Contact information for at least three professional references.
Please send your application to Min Shen, Ph.D. Application reviews will begin promptly and continue until the position is filled.
Last Date to Apply:
Ongoing until the position is filled.
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