Experteer Overview In this role, you will design and govern semantic models that connect biologics data across discovery domains, enabling machine-readable knowledge and AI-ready pipelines. You will serve as a cross-functional translator, shaping ontologies used by scientists and AI systems to find, reuse, and reason about data. You'll balance scientific accuracy with practical usability, driving enterprise semantic standards across teams. This is a rare opportunity to define the semantic backbone for Biologics Discovery and enable faster, better medicines.
Compensaciones / BeneficiosDesign, release and govern ontology modules, vocabularies, and mappings across biologics discovery domainsPublish API-ready ontology packages for data products and AI/ML workflowsCollaborate with biologists and automation teams to convert complex concepts into computable modelsDefine ontologies using OWL/RDF, SKOS, SHACL and establish semantic standardsEmbed semantic layers into data pipelines and knowledge graphs with data engineersSupport entity linking, provenance,



and semantic search across datasets for AI-retrievalDevelop SPARQL queries and automated validation of semantic coverage and lineageAlign biologics semantics with enterprise governance and downstream (CMC) dataDrive consensus on ontology scope and adoption across scientific and informatics teamsApply modeling guidelines and change management within enterprise governanceResponsabilidadesAdvanced degree in Biomedical Informatics, Computational Biology, Bioinformatics, Data Science, Computer Science, or related field3+ years in ontology engineering, knowledge modeling, taxonomy design, semantic standards, or knowledge graph developmentHands-on experience with versioning, change management, validation, and release workflows for ontology assetsProficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, and ontology design patternsExperience with graph/semantic technologies (e.g., Neo4j, GraphDB, Amazon Neptune, Stardog, Protégé)Ability

📌 Senior Ontologist, Biologics Discovery (Madrid)
🏢 Johnson u0026 Johnson
📍 Madrid