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Enterprise Solutions Graph Database/ Architect

Unicorn Technologies LLC
New Providence, PA Remote Contractor
POSTED ON 4/18/2026
AVAILABLE BEFORE 5/18/2026
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Job title : Enterprise Solutions Graph Database/ Architect 

Location: Upper Providence Township, PA (Onsite/Remote )

Experience : 15 Years

 

Role Overview

Seeking a seasoned Graph Database & Knowledge Graph Expert to perform a comprehensive study of our existing platform. Evaluate our current architecture, data ontology, and query performance to provide a strategic roadmap. The goal is to evolve our Knowledge Graph into a robust, scalable engine that accelerates different Pharma areas ( drug discovery, clinical insights, and cross-departmental data democratization)

Key Responsibilities

  • Platform Assessment: Conduct a "health check" on current graph infrastructure (e.g., AnzoGraph, Neo4j,  or Stardog).

  • Ontology & Schema Review: Evaluate existing schemas (RDF/OWL or Property Graph) for scalability and alignment with industry standards like MeSH, SNOMED, or UMLS.

  • Performance Optimization: Identify bottlenecks in ingestion pipelines and complex query execution (Cypher/SPARQL).

  • Strategic Roadmap: Define a "Way Forward" report including recommendations on build-vs-buy decisions, cloud migration, and integration with LLMs (GraphRAG).

  • Stakeholder Alignment: Translate technical graph concepts into value-driven insights for non-technical stakeholders in Research and Clinical teams.

  • 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, Neo4j, Stardog,

Languages: Python, Java, SPARQL, Cypher, or Gremlin.

Bio-Ontologies: Familiarity with OBO Foundry, ChEMBL, or Ensembl.

 

Salary : $75 - $80

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