Knowledge Graph Engineer, R&d Data Science & Digital Health - Data Strategy And Products
Johnson & Johnson
Cornellà de Llobregat, Spain
Semantic technologies
Ontology development
Graph data modeling
Contribute to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability
Job Summary
Contribute to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability.
Partner with cross-functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study design tools.
Work with IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations.
Matching Summary
Contribute to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability.
Skills & Requirements
Must-have
semantic technologies
ontology development
graph data modeling
SPARQL, RDF, OWL
life sciences domain
Nice-to-have
NLP/RAG over graphs
CI/CD implementations
agile decision-making
Key Requirements
Ph.D. or master's degree
5+ years professional experience
Programming background in parser combinators, NLP, linked data
Experience in large-scale knowledge graphs construction
Familiarity with graph databases (Neo4j, Amazon Neptune)