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Computational Research in Network Biology of Gene Regulation and Diseases

National Library of Medicine, Bethesda, MD and surrounding area

Position Description:

The Computational Biology Branch (CBB) of the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM) is looking for a qualified postdoctoral fellow to perform data-driven research in network biology of gene regulation and disease.

Research at CBB focuses on theoretical, analytical, and applied computational approaches to a broad range of fundamental problems in molecular biology and medicine. The expertise of this research group concentrates in data analysis, network biology, and methods for analysis of new emerging data types. In addition, research interests cover a wider range of topics in computational biology. There is particular interest in the application of algorithmic and machine learning methods to these areas. The successful applicant will be given flexibility to pursue research in broader applications in these areas to computational biology and biomedicine.


Applicants must have a doctorate degree in computer science, bioinformatics, or a similar quantitative discipline. Individuals with both theoretical and applied backgrounds with strong computational skills are encouraged to apply.

Appointees may be U.S. citizens, permanent residents, or foreign nationals (visa requirements apply). Candidates are subject to a background investigation.

To Apply:

Applicants should send a cover letter, curriculum vitae, and contact information for three references (names and e-mail addresses) to Dr. Teresa Przytycka. For more information about this position, please contact her at Applications will be accepted until the position is filled.

The NIH is dedicated to building community in its training and employment programs and encourage the application and nominations of qualified women, minorities, and individuals with disabilities. DHHS and NH are Equal Opportunity Employers.