Knowledge Graph Engineer, R&d Data Science & Digital Health - Data Strategy And Products
Johnson & Johnson Innovative Medicine
Barcelona, Spain
Not specified (assumed hybrid based on industry norms).
Knowledge graph engineering
Semantic technologies
Ontology development
Johnson & Johnson is seeking a Knowledge Graph Engineer for their R&D Data Science & Digital Health team in Barcelona or Madrid, Spain. The ideal candidate will have expertise in semantic technologies and graph data modeling, with a strong background in health informatics to develop a scalable knowledge graph infrastructure
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
Match Score: 85
Johnson & Johnson is seeking a Knowledge Graph Engineer for their R&D Data Science & Digital Health team in Barcelona or Madrid, Spain. The ideal candidate will have expertise in semantic technologies and graph data modeling, with a strong background in health informatics to develop a scalable knowledge graph infrastructure.
Skills & Requirements
Must-have
Knowledge Graph Engineering
Semantic Technologies
Ontology Development
Graph Data Modeling
SPARQL, RDF, OWL
Life Sciences Domain
Nice-to-have
NLP/RAG over graphs
Agile decision-making
Continuous learning
Organizational change management
Key Requirements
Ph.D. or Master's degree
5+ years professional experience
7+ years professional experience
Experience in large-scale knowledge graphs construction
Experience with graph databases (Neo4j, Amazon Neptune)