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Staff Scientist

National Institutes of Health, NHLBI, Laboratory of Computational Biophysics
Bethesda, Maryland (US)
Starting salary based on experience. Minimum of $125,000 per year plus full federal benefits
Closing date
Aug 29, 2022

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Life Sciences, Biophysics
Position Type
Full Time
Job Type
Staff Scientist
Organization Type
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The Laboratory of Computational Biology within the National Heart, Lung and Blood Institute (NHLBI) at the National Institutes of Health (NIH) has an open position for a Staff Scientist. The laboratory, led by Dr. Bernard Brooks, Ph.D., is a group of researchers on the Bethesda, Maryland campus who use high-performance computing and macromolecular simulation to investigate problems in biophysics and chemistry.

Position description: The laboratory is seeking to hire one Staff Scientist to perform a mixture of collaborative science and computational scientific support. The selected candidate’s assignments will be determined by LCB program needs and the individual’s research interests and skills. The fraction of effort for science vs. support is negotiable, but both are expected to result in peer-reviewed publications (

Starting salary will be based on experience and will be at a minimum of $125,000 per year plus a full array of federal benefits.

The selectee will develop and refine computational models and methods to further the LCB scientific mission across a variety of scientific disciplines including but not limited to computational biophysics, computational chemistry, electron microscopy, and machine learning. Detailed knowledge and experience with all subject areas is not required.  The selectee will also develop, maintain, and support software used in the center as well as assist users with scientific computing needs. This task will include further developing software for high performance computing resources such as the LCB’s LoBoS system ( and other computational resources used by the laboratory.

Research area keywords: Computer science, mathematics, biophysics, computational chemistry, macromolecular simulation, scientific computing, high performance computing, protein docking, free energy, electrostatics, force field, machine learning

Experience required: Applicants must have a Ph.D. and be actively engaged in research in one or more of the research area keywords as demonstrated by their publication record.  Strong knowledge of Linux-based scientific computing systems is required.  Applicants must also possess some familiarity with GPUs, networks, and storage systems used in high performance and scientific computing systems.

How to apply:

To apply, please send your curriculum vitae, cover letter, and the names and addresses of three references to: Rick Venable, Laboratory of Computational Biology, at

Applications will be accepted until the position has been filled.

We are an equal opportunity employer, and we actively prohibit discrimination and harassment of any kind. We strongly encourage people of color, LGBTQ+ people, immigrants, women, and people who are differently-abled to apply.

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