Enterprise Solutions Graph Database

H R PUNDITS INC; United States; Hybrid; USD 130,000 - 160,000; Full time

Job summary

H R PUNDITS INC is looking for an experienced Enterprise Solutions Graph Database/Architect in Upper Providence Township, PA. The role involves evaluating current data architecture and providing a roadmap for evolving the Knowledge Graph to enhance areas such as drug discovery and clinical insights. Candidates should possess 10+ years of Graph DB expertise, coupled with deep knowledge in the Pharma domain, including experience with data engineering and advanced analytics. This position can be onsite or remote.

Qualifications

• 10+ years of experience with Graph Databases and proficiency in LPG or RDF/Triple Stores.
• Proven experience handling biomedical data types such as Gene-Disease associations.
• Strong understanding of Linked Data principles and ontology modeling.
• Experience with ETL/ELT pipelines feeding from various sources.

Responsibilities

• Evaluate current architecture, data ontology, and query performance.
• Provide a strategic roadmap for the Knowledge Graph enhancement.
• Accelerate Pharma areas including drug discovery and clinical insights.

Skills

Graph Expertise

Pharma Domain Knowledge

Semantic Web Standards

Data Engineering

Advanced Analytics

Technical Stack Preferences

Tools

AnzoGraph

Neo4j

Stardog

Python

Java

SPARQL

Cypher

Gremlin

Job description

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).

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 (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.