Job at National Institutes of Health
Clinical Bioinformatics Specialist
- Employer
- National Institutes of Health (U.S. Federal Government)
- Location
- Montgomery County, Maryland
- Workplace
- Not supplied
- Employment
- full-time
- Department
- National Institutes of Health
- Team
- Department of Health and Human Services
- Salary
- $143,913 to $187,093 per year, as the employer lists it
- Published
- First listed on USASI
This posting comes from USAJOBS.gov, the U.S. federal government’s official employment site. The hiring agency is National Institutes of Health. USASI checks USAJOBS and removes this page once the announcement closes. The description below is the agency’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.
Job description
If you are an experienced Clinical Bioinformatics Specialist AND you want to play a significant role in a dynamic organization, then consider joining the National Institutes of Health! This position is located in the Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (HHS).
Duties
Provide expert technical direction and scientific oversight for the full software development lifecycle of Semantic Infrastructure applications supporting cancer Data Standards Registry and Repository (caDSR) and Enterprise Vocabulary Services (EVS). Serve as the expert on the Semantic Infrastructure application portfolio, including caDSR II, EVS Explore, MEME, and related ontology terminology, and data element platforms. Oversee the design, development, and operationalization of Semantic Infrastructure application infrastructure supporting biomedical data models and knowledgebases. Oversee planning, prioritization, and execution of software development, modernization, and sustainment activities for the Semantic Infrastructure application portfolio. Oversee development, deployment, and maintenance of AI and machine learning tools for creation, curation, mapping, quality assurance, and lifecycle management of semantic resources.
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