Principal Scientist - R&D DSDH Ontology Developer TDS Therapeutics Development & Supply (TDS)
Johnson & Johnson
5 months ago
Remote friendly (Cambridge, MA)
United States
IT
Principal Data Scientist – Ontology Developer (TDS Therapeutics Development & Supply)
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.
Key Responsibilities
Ontology Design, Development & Release
- 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.
Governance, Standards & Quality
- 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.
Integration with Data Products, Analytics & AI/ML
- 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.
Collaboration & Cross-Functional Engagement
- 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.
Qualifications
Required
- 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, GraphDB).
- 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.
Preferred
- 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.
Required Skills
- 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.
Preferred Skills
- Coaching, Econometric Models.
Benefits (time off)
- 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.
Application Instructions
- Apply for EMEA locations using requisition: R-069218.
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.
Key Responsibilities
Ontology Design, Development & Release
- 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.
Governance, Standards & Quality
- 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.
Integration with Data Products, Analytics & AI/ML
- 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.
Collaboration & Cross-Functional Engagement
- 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.
Qualifications
Required
- 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, GraphDB).
- 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.
Preferred
- 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.
Required Skills
- 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.
Preferred Skills
- Coaching, Econometric Models.
Benefits (time off)
- 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.
Application Instructions
- Apply for EMEA locations using requisition: R-069218.