Knowledge Graph Engineer, R&d Data Science & Digital Health - Data Strategy And Products

Johnson & Johnson

Barcelona, Spain
Not specified (potentially hybrid or onsite based on location).
Semantic technologies and ontology development
Graph data modeling and rdf standards
Biomedical domain expertise
Johnson & Johnson is seeking a Knowledge Graph Engineer for their R&D Data Science & Digital Health team, focusing on data strategy and products. The role emphasizes the standardization and connection of biomedical and clinical data to enhance healthcare outcomes, requiring expertise in semantic technologies and graph data modeling

Job Summary

  • This role focuses on standardizing and connecting biomedical and clinical data to power analytics, search, and AI across Johnson & Johnson Innovative Medicine.
  • The successful candidate will design scalable knowledge graph infrastructure while curating ontologies for diseases, drugs, targets, and pathways using RDF standards.
  • Engineers in this position work on teams that save lives by developing medicines of tomorrow and pioneering the path from lab to life.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Knowledge Graph Engineer for their R&D Data Science & Digital Health team, focusing on data strategy and products. The role emphasizes the standardization and connection of biomedical and clinical data to enhance healthcare outcomes, requiring expertise in semantic technologies and graph data modeling.

Skills & Requirements

Must-have

  • Semantic technologies and ontology development
  • Graph data modeling and RDF standards
  • Biomedical domain expertise
  • SPARQL, GraphQL, and REST services
  • Neo4j or Amazon Neptune proficiency

Nice-to-have

  • Natural language processing experience
  • Pharmaceutical research environment background
  • Cross-functional team collaboration skills
  • Agile decision-making capabilities
  • DevOps and containerization knowledge

Key Requirements

  • Ph.D. or Master's degree in related field
  • 5+ years health informatics or 7+ years general experience
  • Experience with large-scale knowledge graphs construction
  • Proficiency in parser combinators and linked data

Work Rights

Not specified

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