Location: London (Hybrid)
Contract: 6 months (High Likelihood of Extension)

An exciting opportunity has arisen for an experienced Lead Knowledge Graph Engineer to join a major AI and data transformation programme within the Life Sciences sector. You'll play a key role in evaluating, optimising and scaling an enterprise Knowledge Graph platform, helping shape the future of GraphRAG, GenAI and semantic data capabilities.

Key experience required:

• Proven experience with Knowledge Graphs, Triple Stores or Property Graphs.
• Strong hands-on experience with Neo4j, Stardog or AnzoGraph.
• Expertise in SPARQL, Cypher, Gremlin, Python and Java.
• Experience designing and implementing GraphRAG, LLMs and GenAI solutions.
• Strong understanding of RDF, OWL, Linked Data and Semantic Web standards.
• Experience optimising graph databases, ontologies and enterprise data models.
• Pharmaceutical or Life Sciences experience, including biomedical data and ontologies such as SNOMED, MeSH and UMLS.
• Experience with CMC data, knowledge graphs and AI-driven data platforms is highly desirable.