Knowledge Graph Engineer, R&d Data Science & Digital Health - Data Strategy And Products
Johnson & Johnson
Barcelona, Spain
Semantic technologies and ontology development
Graph data modeling for biomedical data
Sparql, rdf, owl proficiency
The role involves standardizing and connecting biomedical and clinical data to power analytics, search, and AI across Johnson & Johnson Innovative Medicine
Job Summary
The role involves standardizing and connecting biomedical and clinical data to power analytics, search, and AI across Johnson & Johnson Innovative Medicine.
Candidates will design scalable knowledge graph infrastructure focused on data interoperability and extend ontologies for diseases, drugs, and pathways.
This position requires partnering with cross-functional teams to enable NLP/RAG over graphs and develop features for predictive modeling.
Matching Summary
The role involves standardizing and connecting biomedical and clinical data to power analytics, search, and AI across Johnson & Johnson Innovative Medicine.
Skills & Requirements
Must-have
Semantic technologies and ontology development
Graph data modeling for biomedical data
SPARQL, RDF, OWL proficiency
Neo4j or Amazon Neptune experience
NLP and linked data implementation
Nice-to-have
Experience with CI/CD and DevOps tools
Background in genomics and proteomics
Agile decision-making skills
Cross-functional team collaboration
Strategic thinking in data products
Key Requirements
Ph.D. or Master's degree in related field
5+ years in health informatics or 7+ years general experience
Proficiency in parser combinators and natural language processing
Experience with large-scale knowledge graph construction