Lead Knowledge Graph Engineer
Job Description
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Location: London (Hybrid)
Contract: 6 months (High Likelihood of Extension)
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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.
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Key experience required:
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- 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.
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