At a Glance
- Tasks: Lead the development of cutting-edge Knowledge Graph platforms in the Life Sciences sector.
- Company: Join a major AI and data transformation programme with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Exciting opportunity for growth in a dynamic and evolving field.
- Why this job: Shape the future of AI and semantic data while making a real impact.
- Qualifications: Experience with Knowledge Graphs, Neo4j, SPARQL, and Python is essential.
The predicted salary is between 80000 - 100000 £ per year.
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 Graph RAG, Gen AI 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 Anzo Graph.
Expertise in SPARQL, Cypher, Gremlin, Python and Java.
Experience designing and implementing Graph RAG, LLMs and Gen AI 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, Me SH and UMLS.
Experience with CMC data, knowledge graphs and AI-driven data platforms is highly desirable.
