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knowledge graph
pharma
life science

Summary

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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: Deepgraph
Posted 20 hours ago

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