Senior Information Architect – Research & Development
Core
Architect the semantic foundation for AI across R&D to accelerate breakthrough medicines by defining connected knowledge across scientific, clinical, and operational domains.
Role type
Senior Enterprise Information Architect (R&D)
Builds
Ontologies, taxonomies, canonical models, metadata standards, and enterprise knowledge layers.
Domain
Pharmaceutical R&D / Semantic Web / Data Architecture
Deliverable
production ML models
Required skills
Ontology and taxonomy design, Semantic modelling (RDF, OWL, SKOS, SHACL), Knowledge graph architecture, Data Mesh principles, FAIR/TRUST data principles, Enterprise data modelling (conceptual, logical, physical), Data governance frameworks (GxP, privacy), Cloud containerization strategies, Change leadership and coaching.
Preferred skills
Post-graduate degree in MIS/Data Management/Knowledge Engineering, Experience with pharma standards (CDISC, IDMP, SNOMED CT, MedDRA, LOINC, UMLS, ChEBI, OMOP, HL7 FHIR), Agile data definition scrums, Metadata cataloguing and EA tools, Matrix-based environment experience, R&D lifecycle function experience.
Technologies
RDF, OWL, SKOS, SHACL, Knowledge Graphs, Cloud platforms, EA tools, Metadata cataloguing tools.
Responsibilities
Define and curate enterprise ontologies and taxonomies; Lead transformation from project-specific models to reusable enterprise semantic assets; Partner with R&D leaders to align data products to strategy; Champion FAIR/TRUST principles and Data Mesh enablement; Ensure conformance to enterprise standards through design reviews; Enable AI/ML use cases with semantic consistency and lineage; Lead architectural governance and educate teams on semantic literacy.
Seniority
Senior, hands-on IC with strategic partnership
