Scientific Information Analyst
Medical Science & Computing, Inc - Bethesda, MD

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Medical Science & Computing, Inc. is currently seeking a Scientific Information Analyst to support the National Institutes of Health (NIH) in Bethesda, Maryland.

Duties and Responsibilities

  • Develop, analyze, and refine draft biomedical category concept listings and definitions.
  • Manual extraction of text from grant or contract applications and placement of the information into various database or worksheets.
  • Develop and maintain category documentation in the office SharePoint wiki pages and shared folders.
  • Facilitate research category sessions with NIH biomedical category experts.
  • Curate and revise thesaurus (structured based on UMLS).
  • Facilitate and conduct annual maintenance review and analyses for completed category definitions and project listings for public display.
  • Facilitate analysis of category/other related data.
  • Facilitate training sessions on text mining and reporting systems, policies, processes and tools to NIH community.
  • Analyze system deficiencies, defects, bugs, and errors and collaborate with other ORIS staff and contractors to coordinate improvements.
  • Develop documentation to support project goals, track required tasks and provide meeting support as required.

Position Requirements

  • Demonstrable knowledge in diverse areas of biomedical, chemical, physical and health sciences.
  • Previous experience in automated scientific coding/indexing.
  • Working knowledge of scientific thesaurus or other structured vocabularies and text mining tools and software.
  • Previous experience with UMLS, MeSH (Medical Subject Headings), CRISP (Computer Retrieval of Information on Scientific Projects) or other biomedical thesauri, and Elsevier/Collexis or other thesaurus based text mining tools preferred. The experience does need to be in a combination of one of these biomedical thesauri and some thesaurus based text mining tool (it is the combination that is required). Experience in just one tool is not sufficient for our requirements. It doesn’t have to be MeSH or CRISP, but UMLS is the industry standard.
  • Ability to facilitate meetings in a “lead” capacity for groups of various sizes and scientific expertise.
  • Previous experience with NIH grant data analytical activities
  • Skills in oral and written communication.
  • Organized and deadline driven.