Enterprise Ontologist — AI Knowledge Graph Architect

ThermoFisher Scientific

Dallas (TX)

On-site

USD 84,000 - 127,000

Full time

12 days ago

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Benefits offered by this job

Medical & dental plans

Vision plan

Employee assistance program

Tuition reimbursement

PTO and holidays

Parental leave

Disability insurance

401(k) plan

ESPP

Job summary

Thermo Fisher Scientific is seeking an Enterprise Ontologist to design, govern, and scale semantic models powering the Enterprise Knowledge Graph (EKG) and AI-driven experiences. You will work across scientific, content, product, AI, data science, and engineering teams to ensure ontologies stay accurate, governed, and aligned with evolving business needs.

You will partner with scientific SMEs and technical teams to translate complex requirements into scalable semantic models and establish

Qualifications

Bachelor's degree in Life Sciences or related field; master's preferred.
5+ years in ontologies, semantic data models, taxonomies, or knowledge graphs.
Expertise in ontology engineering, OWL, RDF and SKOS.
Experience with scientific/biomedical knowledge models and AI/search apps.

Responsibilities

Design, develop, and govern enterprise ontologies and semantic models for EKG and AI apps.
Model scientific and product concepts using taxonomies and external ontologies.
Collaborate with SMEs to translate requirements into scalable semantic models.
Establish ontology governance, standards, QA, lifecycle, provenance, and changes.
Develop mappings across taxonomies, ontologies, data sources, and KG entities.
Enable AI capabilities: semantic search, content classification, RAG, grounding, recommender systems.
Evaluate ontology effectiveness and improve retrieval and AI performance.
Provide ontology guidance and training to stakeholders.