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Public Health Vocabulary SME - Remote in US

Work from home Full-time role Hiring

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mindbank Consulting Group, is seeking the following. Apply via Dice today! Mindbank Consulting Group is seeking a Public Health Vocabulary Subject Matter Expert (SME) for a fully remote ( within the United States only ) opportunity to design and implement terminology solutions, map complex lab and surveillance data, and support modernization of public health data systems. Salary up to $165,000 and comprehensive benefits are offered. The Public Health Vocabulary SME supports the design and implementation of data standards and terminology solutions that enable accurate data exchange across clinical, laboratory, and epidemiological systems. This role applies expertise in standards such as LOINC, SNOMED, ICD-10, and FHIR to map complex health data, improve data quality, and support interoperability across public health programs at the state and federal level. Public Health Vocabulary SME Responsibilities:

  • Design 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.

Public Health Vocabulary SME Required Skills and Experience:

  • Bachelor’s degree and 10+ years of professional experience as a public health terminologist
  • Experience working with public health coding systems and standards, including Logical Observation Identifiers Names and Codes (LOINC), Systematized Nomenclature of Medicine (SNOMED), International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10), USCDI+, FHIR or other Health Level 7 (HL7) messaging
  • Knowledge of Vocabulary Authoring procedures
  • Ability to provide data standards strategy and modernization support for terminology tooling at CDC
  • Ability to research and understand complex scientific, laboratory, and surveillance nomenclature
  • Ability to map laboratory assays to vocabulary standards
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Public Health Vocabulary SME Preferred Skills and Experience:

  • Experience in a state, local, or federal public health environment
  • Experience with implementing public health standards to health or laboratory systems
  • Experience with data management and analysis using tools, including Excel, SQL, SAS, R, or Python
  • Experience with PHINVADS
  • Knowledge of infectious disease surveillance and informatics
  • Ability to apply advanced data science expertise to promote data collection and analysis
  • MA or MS degree in public health, epidemiology, biostatistics, or health informatics

As an Equal Opportunity Employer, Mindbank is committed to a diverse workforce and we seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.

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