IT Project Manager SME - Public Health Terminologist

Position Objective: The DMAC Data Governance and Data Standards Project is seeking a Public Health Vocabulary SME.The Public Health Vocabulary SME designs, develops and implements solutions for software integration projects, coordinates applications across functions or between organizations. Ensures the integration of projects meet the requirements of the organization. Applies specific functional knowledge, working/general industry knowledge. Apply subject matter expertise to public health programs at the state, local, and federal levels. Interpret and implement new and existing standards and apply them to clinical, laboratory, and epidemiological settings. Work with development organizations to develop new standards. Assist with improving the quality of collected and produced data.Duties And ResponsibilitiesDesign and Implement Terminology Solutions: Develop and implement solutions for integrating public health coding systems and standards, such as LOINC, SNOMED, ICD-10, and FHIR, to ensure seamless data exchange and analysis across clinical, laboratory, and epidemiological settings.Provide Data Standards Strategy and Modernization Support: Offer expert guidance on data standards and vocabulary authoring procedures to support the modernization of terminology tooling at the Centers for Disease Control and Prevention (CDC), ensuring data quality and consistency.Map Laboratory Assays to Vocabulary Standards: Research and map complex scientific and laboratory assays to established vocabulary standards, enabling accurate data collection, analysis, and surveillance in public health settings.Collaborate with Development Organizations: Work with development organizations to create new standards and improve existing ones, staying up to date with emerging trends and technologies in public health informatics and surveillance.Analyze and Improve Data Quality: Apply advanced data science expertise to analyze and improve the quality of collected and produced data, promoting effective data collection, analysis, and surveillance in public health programs at the state, local, and federal levels.