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

Johnson & Johnson MedTech

Cornellà de Llobregat, Barcelona, Spain
Hybrid (based on location in barcelona or madrid and typical industry practices)
Semantic web technologies expertise
Graph data modeling and ontology development
Knowledge graph construction in biomedical domain
Johnson & Johnson MedTech is seeking a Knowledge Graph Engineer to join their R&D Data Science & Digital Health team, focusing on data strategy and products. The ideal candidate will have extensive experience in semantic technologies and biomedical applications, aiming to enhance healthcare outcomes through innovative data solutions

Job Summary

  • Johnson & Johnson is committed to using innovative technology to improve healthcare outcomes worldwide by developing treatments and pioneering the path from lab to life.
  • The Knowledge Graph Engineer will connect enterprise master data with R&D data across the product lifecycle to enable trusted, interoperable knowledge powering analytics, search, and AI.
  • The role involves curating ontologies, developing graph-based data models, deploying graph database infrastructure, and partnering with teams to enable advanced features such as NLP and predictive modeling.

Matching Summary

Match Score: 85

Johnson & Johnson MedTech is seeking a Knowledge Graph Engineer to join their R&D Data Science & Digital Health team, focusing on data strategy and products. The ideal candidate will have extensive experience in semantic technologies and biomedical applications, aiming to enhance healthcare outcomes through innovative data solutions.

Skills & Requirements

Must-have

  • semantic web technologies expertise
  • graph data modeling and ontology development
  • knowledge graph construction in biomedical domain
  • graph database management and deployment
  • data ingestion and curation pipelines
  • integration of biomedical and clinical data

Nice-to-have

  • agile decision-making and project delivery
  • experience with CI/CD and DevOps tools
  • strong problem-solving and organizational skills
  • collaboration with cross-functional teams
  • willingness to travel less than 25%

Key Requirements

  • Ph.D. or master's degree in relevant fields
  • At least 5 years professional experience in health informatics or 7 years with graduate degree
  • Programming experience with parser combinators and NLP
  • Proficiency in SPARQL, RDF, OWL and graph databases
  • Experience with biomedical datasets including genomics and proteomics
  • Experience in pharmaceutical or biotech research environments
  • Experience with CI/CD, git, and containerization technologies
  • Ability to travel less than 25%

Work Rights

Not specified

Tailored Resume

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