Principal Scientist - R&D DSDH Ontology Developer TDS Therapeutics Development & Supply; TDS

Position Summary

• Design, build, and govern semantic frameworks that unify data across the development-to-delivery lifecycle for Therapeutics Development & Supply (TDS).
• Translate scientific, technical, and operational concepts into ontologies, controlled vocabularies, and semantic models enabling interoperability, analytics, automation, and AI/ML applications.
• Partner with domain experts in Process Development, Manufacturing, Quality, Supply Chain, and Data Science.

• Model, code, test, and publish ontology modules and controlled vocabularies supporting TDS data ecosystems (e.g., process development, material attributes, equipment hierarchies, batch/product genealogy, quality signals, supply chain flows).
• Translate SME domain knowledge into OWL/RDF, SKOS, and SHACL using established ontology engineering practices.
• Produce validated, versioned semantic models and API‑ready outputs for enterprise platform integration.
• Build mappings to enterprise canonical models, regulatory standards, and cross‑functional ontologies.

• Own components of the TDS ontology roadmap (scope, priority, use cases, success metrics).
• Define/enforce modeling guidelines, naming/versioning conventions, change control, and release/deprecation rules.
• Implement data quality checks (coverage, conformance, identifier normalization, provenance capture).
• Produce automated validation reports and maintain SPARQL queries/tests.

• Enable knowledge graphs, data products, advanced analytics, and AI/ML workflows.
• Embed semantic layers into data pipelines and metadata systems with Data Engineering and Data Architecture.
• Support automation of classification, normalization, and entity linking using ML/NLP.

• Work with SMEs across Process Development, Manufacturing, Quality, Supply Chain, and Digital/Data Science to capture semantics and validate ontology structures.
• Participate in enterprise communities of practice for data standardization, interoperability, and ontology reuse.
• Engage stakeholders to ensure fit-for-purpose semantic design and delivery.

• Master’s degree or Ph.D. in Life Sciences, Engineering, Computer Science, Mathematics, or related field.
• 3–5+ years hands‑on ontology engineering/knowledge modeling/semantic standards/knowledge graph development.
• Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, ontology design patterns, and reasoning workflows.
• Experience with graph databases (e.g., Neo4j, Graph
  
  DB).
• Strong analytical problem solving and requirements gathering; ability to translate SME discussions into semantic structures.
• Proven ability to manage multiple projects and deliver high‑quality outcomes.

• Experience with biopharmaceutical development, GMP manufacturing, quality systems, or supply chain data.
• Familiarity with ISA‑88/95, GS1, HL7/FHIR, or manufacturing‑oriented ontologies.
• Familiarity with ML/NLP techniques for metadata extraction, classification, or ontology enrichment.
• Understanding of enterprise data platforms, metadata systems, and knowledge graph architectures.

• Advanced Analytics, Critical Thinking, Data Analysis, Data Quality, Data Reporting, Data Science, Data Visualization, Digital Fluency, Data Privacy Standards, Strategic Thinking, Technical Credibility, Workflow Analysis, Organizing, Process Improvements.
• Coaching, Econometric Models.

• Coaching, Econometric Models.

• Vacation: 120 hours/year
• Sick time: 40 hours/year (CO: 48; WA: 56)
• Holiday pay including Floating Holidays: 13 days/year
• Work/Personal/Family Time: up to 40 hours/year
• Parental Leave: 480 hours
• Bereavement Leave: 240 hours (immediate) and 40 hours (extended)
• Caregiver Leave: 80 hours
• Volunteer Leave: 32 hours
• Military Spouse Time-Off: 80 hours

Apply for EMEA locations using requisition: R-069218.