Reference Data Specialist
Core
Design, develop, govern, and optimize enterprise reference data, ontologies, taxonomies, and semantic models to support analytics, interoperability, and data governance across business and scientific domains.
Role type
Senior Reference Data Specialist (Semantic Technologies & Knowledge Graphs)
Builds
Enterprise semantic frameworks, ontologies, taxonomies, and knowledge graph implementations
Domain
Biotechnology / Pharma / Data Governance
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Semantic Web technologies (RDF, OWL, SKOS, SPARQL, SHACL), Knowledge Graph platforms (GraphDB, TopBraid, MarkLogic, Stardog), Pharma domain ontologies (CDISC, MedDRA, SNOMED CT, ICD), Python/PySpark, SQL, Metadata management, API integration (REST, JSON-LD, XML)
Preferred skills
Databricks, AWS, FAIR Data Principles, Agile delivery models
Technologies
RDF, OWL, SKOS, SPARQL, SHACL, JSON-LD, GraphDB, TopBraid, CenTree, MarkLogic, Protégé, Semaphore, Databricks, PySpark, AWS
Responsibilities
Design and maintain enterprise ontologies and semantic reference data models; Collaborate with SMEs to define semantic standards and vocabularies; Develop and optimize RDF/OWL/SKOS-based frameworks and SPARQL/SQL queries; Manage ontology lifecycle including modeling, validation, and versioning; Troubleshoot semantic data load and mapping issues; Develop automated data ingestion pipelines using Python/PySpark; Mentor junior engineers on semantic technologies
Seniority
Senior, hands-on IC