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Structural Bioinformatics and Computational Biology

National Library of Medicine, Bethesda, MD and surrounding area

Position Description:

The Laboratory of Structural Bioinformatics at the National Library of Medicine, located on the main National Institutes of Health (NIH) campus in Bethesda, Maryland, is opening a postdoctoral position in the areas of computational biology and structural bioinformatics.

This position would involve developing computational methods that characterize fold-switching proteins, which remodel their secondary structures and change their functions in response to cellular stimuli (, Depending on the candidate’s background and interests, several projects are possible. Specific projects would involve predicting fold switchers from their genomic sequences, design of fold-switching sequences, and/or developing interactive websites and databases for future characterization of fold-switching proteins.


The applicant should be a creative, motivated individual interested in developing cutting-edge computational methods that lay the foundation of an up-and-coming area of protein research.

Applicants who meet the following requirements will be considered for the position:
  • PhD in bioinformatics, computational biology, biophysics, computer science, or a closely related field. Applicants close to finishing a PhD in one of these areas will also be considered.
  • Strong proficiency in python
  • LINUX proficiency
  • In-depth understanding of protein structure and protein biochemistry
  • Strong oral and written communication skills
Prior experience in at least one of the following computational areas is required:
  • Modeling and prediction of protein structure/function
  • Deep learning applied to proteins
  • Design and implementation of interactive websites related to protein structure
  • Computational protein design

Salary will depend on qualifications and is determined based on current NIH pay scale.

To Apply:

Interested applicants should submit their curriculum vitae (CV), a statement of research interests, and contact information for three references via email to Lauren Porter, PhD at

Posted UntiL Deadline: October 14, 2022

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