Senior Knowledge Graph Engineer

Role: Senior Knowledge Graph Engineer

Duration: 12 Months

Location: Remote (For USA)

Domain Life Sciences

Basic Qualifications:

• We are looking for professionals with the required skills to achieve our goals:
• Masters 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: Protg, 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
• Familiarity with linked data principles and semantic web technologies
• Demonstrated experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML)
• Proficiency in at least one programming language preferably Python and LLM for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines

Preferred Qualifications:

• If you have the following characteristics, it would be a plus:
• Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt)
• Experience with at least one programming language e.g. Python for scripting vocabulary mappings, building data models, etc
• Experience supporting LLM integration or AI-readiness workflows including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures
• 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)