Senior Knowledge Graph Engineer - Remote Healthcare AI

Quantiphi; Oregon; Hybrid; USD 140,000 - 180,000; Full time

Job summary

Quantiphi is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. You will work with LPG and RDF architectures, translating ontology and mapping specifications into scalable graph implementations and pipelines.

You will collaborate with ontology, FHIR, and data teams to ensure data provenance, quality, and robust querying using Cypher and SPARQL. US remote role with up to 25% travel to client sites across the US.

Qualifications

• 5+ years of software/data engineering with knowledge graphs or graph technologies.
• Strong understanding of graph data modeling concepts.
• Hands-on with LPG (Neo4j/Cypher) or RDF/semantic tech (RDF/OWL, SPARQL).
• Experience with LPG and RDF graph models.
• Strong programming skills in Python or Java.

Responsibilities

• Develop, implement, and maintain production knowledge graph solutions across LPG and RDF technologies.
• Build scalable pipelines to transform healthcare/FHIR data into graph representations.
• Implement mappings between clinical data and concepts in the ontology.
• Design reusable mapping and transformation patterns and ensure provenance and traceability.
• Develop and optimize graph queries using Cypher and SPARQL.
• Collaborate with ontology, FHIR, terminology, and data teams to translate requirements into production implementations.

Skills

Knowledge graphs

Graph data modeling

Cypher

SPARQL

Python

Java

Data ingestion pipelines

Tools

Neo4j/Cypher

RDF/OWL

SHACL

HL7 FHIR

Job description

Quantiphi is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. You will work with LPG and RDF architectures, translating ontology and mapping specifications into scalable graph implementations and pipelines.

You will collaborate with ontology, FHIR, and data teams to ensure data provenance, quality, and robust querying using Cypher and SPARQL. US remote role with up to 25% travel to client sites across the US.