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

Johnson & Johnson Innovative Medicine • Cambridge, MA

5d • Remote

About The Position

Johnson & Johnson Innovative Medicine is recruiting for a Principal Data Scientist – Ontology Developer TDS to design, build, and govern the semantic frameworks that unify data across the development‑to‑delivery lifecycle for Therapeutics Development & Supply (TDS). You will translate scientific, technical, and operational concepts into well‑structured ontologies, controlled vocabularies, and semantic models that enable interoperability, analytics, automation, and AI/ML applications across TDS. This role combines hands‑on ontology engineering with product-oriented thinking, partnering closely with domain experts in Process Development, Manufacturing, Quality, Supply Chain, and Data Science teams. You will serve as a key technical contributor and creative problem solver with a strong understanding of semantic technologies and data modeling in life sciences or manufacturing domains.

Requirements

• Master’s degree or Ph.D. in Life Sciences, Engineering, Computer Science, Mathematics, or related field.
• 3–5+ years of hands‑on experience in ontology engineering, knowledge modeling, semantic standards, or knowledge graph development, consistent with expectations in semantic technology roles.
• Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, ontology design patterns, and reasoning workflows.
• Experience with graph databases (e.g., Neo4j, GraphDB, etc).
• Strong skills in analytical problem solving, requirements gathering, and translating discussions with SMEs into semantic structures.
• Demonstrated ability to manage multiple projects simultaneously and deliver high‑quality outcomes.

Nice To Haves

• Experience with biopharmaceutical development, GMP manufacturing, quality systems, or supply chain data.
• Familiarity with standards such as 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.

Responsibilities

• Model, code, test, and publish ontology modules and controlled vocabularies supporting our TDS data ecosystems (e.g., process development, material attributes, equipment hierarchies, batch and product genealogy, quality signals, supply chain flows).
• Translate domain knowledge from SMEs into OWL/RDF classes and properties, SKOS vocabularies, and SHACL constraints, following patterns from established ontology engineering practices.
• Produce validated, versioned semantic models and API‑ready outputs for integration into enterprise platforms.
• Build mappings to enterprise canonical models, regulatory standards, and cross‑functional ontologies.
• Maintain accountability for components of the TDS ontology roadmap—setting scope, priority, use cases, and success metrics.
• Define and enforce modeling guidelines, naming and versioning conventions, change control processes, and release/deprecation rules, similar to R&D ontology governance frameworks.
• Implement data quality checks including coverage, conformance, identifier normalization, and provenance capture.
• Produce automated validation reports and maintain SPARQL queries/tests.
• Ensure TDS ontologies serve as foundational assets enabling knowledge graphs, data products, advanced analytics, and AI/ML workflows—mirroring the AI‑readiness focus in technical roles.
• Partner with Data Engineering and Data Architecture teams to embed semantic layers into data pipelines and metadata systems.
• Support automation of classification, normalization, and entity linking using ML/NLP techniques.
• Work with SMEs across Process Development, Manufacturing, Quality, Supply Chain, and Digital/Data Science to capture domain semantics and validate ontology structures.
• Participate in broader enterprise communities of practice advancing data standardization, interoperability, and ontology reuse.
• Engage stakeholders to understand business needs, communicate semantic designs, and ensure fit‑for‑purpose delivery—reflecting cross‑functional expectations in data strategy roles.

Benefits

• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave – 80 hours in a 52-week rolling period
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Principal