Graph Database/ Architect with AnzoGraph (MUST HAVE)
About The Position
Required Qualifications Graph Expertise: 10+ years of experience with Graph Databases. Deep proficiency in LPG (Labeled Property Graphs) or RDF/Triple Stores. Pharma Domain Knowledge: Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical compounds, Patient journeys). Semantic Web Standards: Strong understanding of Linked Data principles, URI strategies, and ontology modeling. Data Engineering: Experience with ETL/ELT pipelines that feed graphs from unstructured (PDF publications) and structured (EDC, LIMS) sources. Advanced Analytics: Experience implementing Graph Data Science algorithms (centrality, community detection) or integrating Graphs with Machine Learning. Technical Stack Preferences Graph DBs: AnzoGraph (MUST HAVE), Neo4j, Stardog, Languages: Python, Java, SPARQL, Cypher, or Gremlin. Bio-Ontologies: Familiarity with OBO Foundry, ChEMBL, or Ensembl.
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
- AnzoGraph (MUST HAVE)
- Neo4j
- Stardog
- Python
- Java
- SPARQL
- Cypher
- Gremlin
- Familiarity with OBO Foundry
- ChEMBL
- Ensembl
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
