Enterprise Ontologist
Core
Design, develop, and govern enterprise ontologies and semantic models to power Thermo Fisher's Enterprise Knowledge Graph (EKG) and AI-driven digital experiences.
Role type
Senior Enterprise Ontologist (Knowledge Graph & Semantic Modeling)
Builds
Enterprise Knowledge Graph (EKG), AI-driven search, content discovery, and data interoperability solutions
Domain
Life Sciences / Biomedical / Semantic Web / Knowledge Graphs
Deliverable
production ML models
Required skills
Ontology engineering, Knowledge representation, Semantic modeling, Knowledge graph design, OWL, RDF, SKOS, Life sciences domain expertise, Graph databases (Neo4j, PostgreSQL), AI/LLM integration, Ontology governance, Data stewardship
Preferred skills
Master's degree in Life Sciences or related field, Experience with biomedical knowledge models, RAG and NLP technologies
Technologies
OWL, RDF, SKOS, Neo4j, PostgreSQL
Responsibilities
Design and govern enterprise ontologies and semantic models for EKG and AI applications; Model scientific and operational concepts using taxonomies and controlled vocabularies; Partner with SMEs to translate complex requirements into scalable semantic models; Establish ontology governance, standards, and lifecycle management; Develop mappings across taxonomies, external ontologies, and knowledge graph entities; Enable and optimize AI capabilities including semantic search, content classification, and knowledge grounding; Evaluate ontology effectiveness to improve retrieval and AI performance.
Seniority
Senior, hands-on IC
