CompuGain

Graph Database Architect, AnzoGraph

CompuGain

contract

Posted on:

Location Type: Remote

Location: Pennsylvania • United States

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Job Level

SeniorLead

Tech Stack

ETLJavaNeo4jPython

About the role

  • Provide expertise in Graph Databases, specifically AnzoGraph
  • Handle biomedical data types and work with advanced analytics in graph data science
  • Collaborate with data engineering teams on ETL/ELT pipelines
  • Implement algorithms for community detection and centrality in graph structures
  • Contribute to ontology modeling and linked data principles application

Requirements

  • 10+ years of experience with Graph Databases
  • Deep proficiency in LPG (Labeled Property Graphs) or RDF/Triple Stores
  • Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical compounds, Patient journeys)
  • Strong understanding of Linked Data principles, URI strategies, and ontology modeling
  • Experience with ETL/ELT pipelines that feed graphs from unstructured (PDF publications) and structured (EDC, LIMS) sources
  • Experience implementing Graph Data Science algorithms (centrality, community detection) or integrating Graphs with Machine Learning
  • Familiarity with OBO Foundry, ChEMBL, or Ensembl
  • AnzoGraph (MUST HAVE), Neo4j, Stardog, Python, Java, SPARQL, Cypher, or Gremlin
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Graph DatabasesAnzoGraphLabeled Property GraphsRDFETLELTGraph Data Science algorithmsPythonJavaSPARQL