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Computational Biology Position

5 months ago

Bethesda, United States American Society for Virology Full time
The National Institute of Allergy and Infectious Diseases (NIAID), one of the largest institutes at the National Institutes of Health (NIH) and part of the Department of Health and Human Services (HHS), conducts and supports a global program of research to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases. The Laboratory of Immune System Biology, Division of Intramural Research (DIR), NIAID, seeks candidates for a computational biology postdoctoral fellow position in the Computational Biology Section.

Located on the NIH main campus in Bethesda, Maryland, this fully funded position will allow the successful candidate to work in a highly collaborative, interdisciplinary environment as part of a team of experimentalists and computational modelers. In addition, the position will offer the opportunity to acquire a well-rounded, interdisciplinary skill set by combining experimental work and training in computational modeling.

The duties of the position will focus on the development of computational modeling approaches for cellular signaling pathways and multi-cellular communication using high-performance computing techniques and the development of an analysis platform for multi-omics data as part of a U.S. Defense Advanced Research Projects Agency (DARPA)-funded collaboration aimed at identifying markers of immune activation.

To Apply

Interested candidates should send the following to Dr. Martin Meier-Schellersheim at mschellersheim@nih.gov:

• Curriculum vitae

• Bibliography

• Names of three references who may be contacted for letters, and a short statement about their skill set

Visit NIAID Careers for more information about working in NIAID's dynamic atmosphere.

HHS, NIH, and NIAID are equal opportunity employers. NIH is dedicated to building a diverse community in its training and employment programs.

Education Requirement:

Qualifications Required • A Ph.D. degree with focus on computer science or a related field • Experience in programming (C/C++ or Java, Python, etc.), ideally in a scientific setting • Ability and desire to work in a collaborative environment • Interest in quantitative biology approaches • Good communication skills Prior knowledge of cell biology and previous experience with high-performance computing is a plus but not required.