Semantic Data Architect (Ontology Engineer) @ 1dea
Core
Designing and implementing ontologies and semantic models to ensure data interoperability, traceability, and AI-readiness for Life Sciences R&D and production.
Role type
Senior Semantic Data Architect (Ontology Engineer)
Builds
Knowledge graphs, metadata management solutions, and AI-ready data products for Life Sciences/Healthcare.
Domain
Life Sciences / Healthcare / Data Science
Deliverable
production ML models | product features
Required skills
Ontology engineering, Semantic modeling, Knowledge representation, RDF/RDFS, OWL, SPARQL, SHACL, Controlled vocabularies, Data interoperability, FAIR data principles, Domain expert collaboration, Semantic data governance.
Preferred skills
Life Sciences domain knowledge (biology, chemistry, pharma R&D), Ontology design patterns, CMC environments, ELN systems, Agile/Scrum methodologies.
Technologies
Jira, Confluence
Responsibilities
Design, develop, and maintain stable ontologies and semantic models; Define and implement mappings between raw source data and ontological concepts; Collaborate closely with domain experts to define terminology and semantic structures; Evaluate and integrate existing external ontologies; Participate in governance, documentation, and lifecycle management of semantic assets; Support integration of semantic models with knowledge graphs and metadata platforms; Ensure semantic consistency and reusability of data models across domains.
Seniority
Senior, hands-on IC
