Tenure-Track Investigator Recruitment in Data Science, Biomedical Informatics, and Computational Biology


Posted Date: August 13, 2018; Closing Date: Until position is filled.

The National Library of Medicine (NLM) of the National Institutes of Health (NIH) is seeking 2-3 tenure-track investigators to lead world-class research programs within its Intramural Research Program. The goal of this search is to identify candidates with the potential to develop a dynamic, innovative, and independent computational research program that will enhance NLM’s collaborative environment by performing novel, cutting-edge research and, thereby, advance the objectives of NLM’s new Strategic Plan, 2017-2027 to accelerate data-driven discovery. As part of this plan, and in alignment with NIH’s new Strategic Plan for Data Science, NLM is embarking on a major expansion of its Intramural Research Program, with a specific emphasis on data science methodologies, analytics, visualization, computer-assisted curation, and applications of novel methods for basic biological and biomedical discovery.

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Tenure-Eligible Senior Investigator Recruitment in Data Science, Biomedical Informatics, and Computational Biology


Posted Date: August 13, 2018; Closing Date: Until position is filled.

The National Library of Medicine (NLM) of the National Institutes of Health (NIH) is seeking to recruit a tenure-eligible Senior Investigator to lead a world-class research program within its Intramural Research Program. The goal of this search is to identify candidates to develop a dynamic, innovative, and independent computational research program that will enhance NLM’s collaborative environment by performing novel, cutting-edge research and, thereby, advance the objectives of NLM’s new Strategic Plan, 2017-2027 to accelerate data-driven discovery. As part of this plan, and in alignment with NIH’s new Strategic Plan for Data Science, NLM is embarking on a major expansion of its Intramural Research Program, with a specific emphasis on data science methodologies, analytics, visualization, computer-assisted curation, and applications of novel methods for basic biological and biomedical discovery.

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