Principal Scientist - R&d Dsdh Ontology Developer Tds Therapeutics Development & Supply (tds)

Johnson & Johnson Innovative Medicine

Spring House, Pennsylvania, United States of America
Base: $117,000.00 - $201,250.00; bonus/equity: not...
Not specified (assumed hybrid based on location options).
Ontology engineering
Semantic technologies
Owl, rdf(s), skos, shacl, sparql
Johnson & Johnson is seeking a Principal Scientist for their R&D Data Science team to develop and govern semantic frameworks in the Therapeutics Development & Supply division. The role requires expertise in ontology engineering and collaboration with various stakeholders to enhance data interoperability and analytics

Job 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 well-structured ontologies, controlled vocabularies, and semantic models.
  • This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing Pharma R&D Data Science organizations, shaping how TDS data powers next-generation therapies.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Principal Scientist for their R&D Data Science team to develop and govern semantic frameworks in the Therapeutics Development & Supply division. The role requires expertise in ontology engineering and collaboration with various stakeholders to enhance data interoperability and analytics.

Salary

Base: $117,000.00 - $201,250.00; Bonus/Equity: Not specified; Benefits: Vacation, Sick time, Holiday pay, Work/Personal/Family Time, Parental Leave, Bereavement Leave, Caregiver Leave, Volunteer Leave, Military Spouse Time-Off

Skills & Requirements

Must-have

  • Ontology engineering
  • Semantic technologies
  • OWL, RDF(S), SKOS, SHACL, SPARQL
  • Graph databases
  • Data governance
  • Life sciences data modeling

Nice-to-have

  • Biopharmaceutical development experience
  • GMP manufacturing knowledge
  • ML/NLP techniques
  • Enterprise data platforms

Key Requirements

  • Master's degree or Ph.D.
  • 3-5+ years of hands-on experience
  • Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL
  • Experience with graph databases
  • Strong analytical problem solving skills

Work Rights

Not specified

Tailored Resume

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