Knowledge Graph Lead Engineer

Job description

We are seeking a Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data infrastructure. In this role, you will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio-ontologies, and build the strategic roadmap for our next-generation GraphRAG and GenAI platforms. Exp :10+yr • s Platform Assessme nt: Conduct comprehensive technical health checks on existing graph databases and cluster infrastructur • e.Ontology & Schema Revi ew: Evaluate RDF/OWL and Labeled Property Graph (LPG) schemas for enterprise scalabilit • y.Standards Alignme nt: Map internal data frameworks to biomedical standards like MeSH, SNOMED, and UML • S.Performance Optimizati on: Eliminate data bottlenecks across real-time ingestion pipelines and complex query executio • n.Strategic Roadm ap: Author comprehensive "Way Forward" reports detailing cloud migration and build-vs-buy decision • s.AI & LLM Integrati on: Design infrastructure to connect knowledge graphs with Large Language Models using GraphRAG framework • s.Stakeholder Alignme nt: Translate technical graph concepts into clear business value for Research and Clinical team s. Graph Expert ise: 10+ years of engineering experience with Graph Databases, Triple Stores, or Labeled Property Grap hs.Technical Stack Preferen • cesGraph Databa ses: Stardog, AnzoGraph, or Ne • o4jQuery & Programming Langua ges: SPARQL, Cypher, Gremlin, Python, and J • avaAI To ols: Any Vibe Coding Tool (Claude Code OR GH • CP)Pharma Domain Knowle dge: Proven track record handling biomedical data like gene-disease associations and chemistry structur • es.CMC Data Familiar ity: Experience modeling Chemistry Manufacturing and Control data types, including product journeys and electronic data capture lo • gs.Bio-Ontologies & Datas ets: OBO Foundry, ChEMBL, Ensembl, and Monarch Initiat • iveAdvanced AI/Ge nAI: Hands-on experience designing and executing Graph RAGs, Context Graphs, Age • ntsSemantic Web Standa rds: Deep understanding of W3C standards, Linked Data principles, and URI minting strategi es.