[Hiring] Ontology Expert @NTT DATA

Role Description

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.

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.

Benefits

• 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.