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Job Description
📋 Description
- Develop and maintain semantic infrastructure for enterprise clinical data, including metadata
- Design, extend, and govern clinical ontologies and controlled vocabularies, establishing modeling
- Apply semantic interoperability principles to ensure clinical information can be exchanged and
- Develop, test, and validate mappings and crosswalks between local, national, and international
- Build and maintain knowledge management resources such as data dictionaries, knowledge bases
- Provide expert oversight of healthcare integration standards and determine which standards should
🎯 Requirements
- Master’s degree in health or biomedical informatics, information or computer science, library and
- At least 10 years of analysis and/or management experience in one or more health sciences
- At least 5 years of experience applying ontology and semantic interoperability concepts to clinical
- Demonstrated experience working with healthcare standards bodies or standards such as SNOMED CT
- Proven experience developing semantic infrastructure, including metadata, ontology standards
- Expert-level knowledge of healthcare integration standards and implementation practices
🎁 Benefits
- Opportunity to contribute to enterprise-scale healthcare interoperability and standardized clinical
- High-impact work spanning semantic infrastructure, clinical terminology, interoperability, data
- Exposure to major healthcare standards and technologies including HL7, FHIR, SNOMED CT, LOINC
- Opportunity to provide technical direction and influence standards, architecture, and information
- Collaboration with clinical, technical, architectural, analytical, and government stakeholders.
- Opportunity to work within a Scaled Agile environment using structured Planning Intervals, Jira
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