Computational Chemistry/Informatics Postdoctoral Fellow: The National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH) invites outstanding candidates to apply for a postdoctoral fellow position in the Early Translation Branch (ETB) of its Division of Preclinical Innovation. This role focuses on applying advanced computational chemistry techniques to contribute to high-impact projects aimed at the design and development of new therapeutic agents.
Designation
Computational Chemistry/Informatics Postdoctoral Fellow
| Category | Details |
|---|---|
| Research Area | Computational Chemistry and Informatics |
| Location | National Institutes of Health (NIH), Bethesda, MD |
| Eligibility/Qualification | Doctorate in computational chemistry, cheminformatics, computer sciences, or a related field. Strong expertise in molecular modeling techniques and familiarity with AI/ML algorithms. |
| Application Deadline | Ongoing until the position is filled |
Job Description
The selected postdoctoral fellow 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.
- Utilize virtual screening techniques for evaluating large chemical libraries for potential drug candidates.
- Collaborate closely with experimental scientists to guide compound synthesis and biological testing informed by computational findings.
- Analyze high-throughput screening data, employing cheminformatics methods to enhance hit identification and lead optimization.
- Present research findings in internal meetings and external scientific conferences while contributing to peer-reviewed publications.
Eligibility/Qualification
- Doctorate in computational chemistry, cheminformatics, computer sciences, or a related field.
- Strong expertise in molecular modeling techniques (molecular docking, molecular dynamics simulations, free-energy calculations).
- Familiarity with AI/ML algorithms and their application in computational chemistry or drug discovery.
- Proficiency in programming/scripting languages (Python, R) and experience with relevant software (Schrodinger, OpenEye, MOE).
- Strong analytical skills and a solid grasp of cheminformatics and data-driven approaches to drug discovery.
- Ability to work independently and collaboratively within a diverse team environment.
- Excellent verbal and written communication skills, evidenced by a record of publications in peer-reviewed journals.
How to Apply
Interested candidates should submit the following:
- A cover letter detailing research interests and experience.
- A current curriculum vitae (CV) including a complete bibliography.
- Contact information for at least three references.
Applications should be sent to Min Shen, Ph.D. Application reviews will commence promptly and continue until the position is filled.
Last Date for Apply
This position will remain open until filled, with a prompt review of applications.
Additional Information
Candidates may undergo a preappointment process, which could include a background investigation and verification of qualifications and job requirements. Qualified individuals may also have the opportunity for workplace flexibilities, including remote work options, in accordance with NIH policies.
