Senior Knowledge Graph Engineer - Remote Healthcare AI
Quantiphi
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Job summary
Quantiphi, an AI-first digital engineering and consulting company, is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. The role uses a hybrid graph approach combining LPG for patient data and RDF for ontology, translating mappings into scalable implementations.
You will collaborate with ontology, terminology, FHIR and data engineering teams, develop pipelines, ensure provenance, and optimize queries with Cypher and
Qualifications
- 5+ years of software/data engineering with knowledge graphs.
- Strong knowledge graph modeling concepts.
- Hands-on LPG and RDF technologies.
- Python or Java programming skills.
- Experience building data ingestion pipelines.
- Experience with graph databases/RDF stores.
- Understanding entity identity and provenance.
- Translate conceptual models into production code.
- Collaborate with cross-functional teams.
Responsibilities
- Develop and maintain production knowledge graph solutions across LPG and RDF.
- Build pipelines to transform healthcare/FHIR data into graphs.
- Implement mappings between data and clinical ontology concepts.
- Develop reusable mapping and transformation patterns.
- Ensure canonical identifiers, relationships, and concept linking.
- Maintain provenance and traceability.
- Develop graph queries using Cypher and/or SPARQL.
- Implement automated validation and testing for mappings.
- Collaborate with ontology, FHIR, terminology teams.
- Participate in design reviews and best practices.
Skills
Tools
Job description
Quantiphi, an AI-first digital engineering and consulting company, is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. The role uses a hybrid graph approach combining LPG for patient data and RDF for ontology, translating mappings into scalable implementations.
You will collaborate with ontology, terminology, FHIR and data engineering teams, develop pipelines, ensure provenance, and optimize queries with Cypher and
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