Semantic Data Modeler
Core
Design, develop, and maintain semantic data models (ontologies, vocabularies) for intelligent data integration, knowledge discovery, and reasoning in life sciences.
Role type
Senior Semantic Data Modeler
Builds
Knowledge graphs and semantic models for interoperability and reasoning in biotech/pharma
Domain
Life Sciences (Biotech/Pharma) + Semantic Web/Graph Technologies
Deliverable
production ML models
Required skills
RDF, RDFS, OWL, SKOS, SHACL, SPARQL, Graph databases (GraphDB, Stardog, Neo4j, Amazon Neptune), ETL/ELT pipelines, NLP integration, AI/ML workflows, LLMs
Preferred skills
GraphQL, Cypher, Gremlin, Relational/NoSQL systems, Data governance, Metadata standards
Technologies
RDF, RDFS, OWL, SKOS, SHACL, SPARQL, GraphDB, Stardog, Neo4j, Amazon Neptune, GraphQL, Cypher, Gremlin, LLMs
Responsibilities
Design and maintain ontologies using semantic standards; Translate business concepts into semantic models; Model, store, and query data in graph databases; Design models for ETL/ELT pipelines; Define semantic data governance practices; Collaborate with cross-functional teams on AI/ML workflows
Seniority
Senior, hands-on IC
