Ontology Expert - Remote
About The Position
We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), United States (US). Ontology Expert – Healthcare AI Solutions Day to Day job Duties: (what this person will do on a daily/weekly basis) Role Summary We are seeking an experienced Ontology Expert to design, develop, and govern healthcare ontologies that power AI-driven and agentic healthcare solutions. The role focuses on building semantic models that enable interoperability, reasoning, knowledge representation, and explainable AI across clinical and healthcare enterprise systems.
Requirements
- 5+ years of experience in ontology engineering, semantic modeling, or knowledge engineering.
- Strong healthcare domain knowledge (clinical, payer, or life sciences).
- Experience working with structured and unstructured healthcare data.
- Ability to collaborate across technical and clinical teams.
- Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies.
- Experience with ontology tools such as Protégé, TopBraid, or Stardog.
- Familiarity with FHIR, HL7, and healthcare data models.
- Exposure to AI/ML and GenAI systems, including LLM-enabled solutions.
- Programming or scripting experience in Python or similar languages (preferred).
- Strong analytical and conceptual thinking abilities.
- Excellent communication skills to work with clinical and technical stakeholders.
- Attention to detail and passion for semantic accuracy.
Nice To Haves
- Background in clinical informatics or biomedical informatics.
- Experience with healthcare AI platforms or decision-support systems.
- Knowledge of semantic search, reasoning engines, or knowledge graphs.
- Advanced degree in Computer Science, Biomedical Informatics, or related fields.
Responsibilities
- Design, build, and maintain healthcare ontologies and semantic models.
- Define domain vocabularies, taxonomies, and relationships for AI-driven solutions.
- Support knowledge representation for AI agents, decision-support, and clinical intelligence systems.
- Collaborate with clinicians, data scientists, and AI engineers to translate knowledge into formal models.
- Govern ontology lifecycle, versioning, and semantic consistency.
- Develop ontologies using standards such as OWL, RDF, and SKOS.
- Work with healthcare standards and terminologies (SNOMED CT, ICD-10, LOINC, RxNorm).
- Enable semantic interoperability across EHRs and healthcare data sources.
- Support reasoning, inference, and rule-based logic for AI systems.
- Enable AI and GenAI systems with structured healthcare knowledge.
- Support agentic workflows, decision models, and explainable AI outputs.
- Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems.
- Ensure semantic accuracy and safety for clinical use cases.
- Ensure ontologies align with clinical safety, regulatory, and compliance requirements.
- Support auditability, traceability, and explainability of AI decisions.
- Define semantic governance policies and best practices.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
