knowledge graph / Data Architect

Role: Data and AI Engineer

Location: Remote – US (EST)

Job Summary:

Primary Skills: AI and Programming knowledge, knowledge graph work experience, life science/pharma focus

Skills & Experience:

• Degree in BioSciences, Biomedical Science, Biomedical Engineering, Biotechnology (with a life science/pharma application focus)
• 6+ years of relevant knowledge graph work experience
• Specific hands-on experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, r2rml, and schema governance
• Hands-on experience with open-source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF-start
• Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS

Preferred Qualifications

• Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma)
• Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, Google Cloud Platform, Azure)
• Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph)