Ontology Expert – Healthcare AI Solutions
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.
Key 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.
Healthcare Ontology & Semantic Modeling
- 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.
AI & Agentic Solution Support
- 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.
Technical Skills & Tools
- 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).
Compliance, Governance & Quality
- 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.
Basic Qualifications
- 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.
Preferred Qualifications
- 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.
Soft Skills
- Strong analytical and conceptual thinking abilities.
- Excellent communication skills to work with clinical and technical stakeholders.
- Attention to detail and passion for semantic accuracy.
Why Join Us
This role offers the opportunity to shape the semantic foundation of AI-driven healthcare solutions, supporting intelligent agents, explainable AI, and interoperable healthcare systems at scale.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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