Neo4j Lead
Location: Mettawa, IL (Onsite)
Rate: $80/hr on C2C
Indent: PSL307902-1-1
Role Overview:
We are seeking an innovative Neo4j Lead to spearhead the design and deployment of Knowledge Graph-driven AI systems. You will build intelligent, autonomous, multi-agent frameworks that streamline complex pharmaceutical market access, formulary analysis, pricing strategies, and patient journey mapping.
Key Responsibilities
·Graph Architecture & Engineering: Architect, design, and scale Neo4j graph databases (and Knowledge Graphs) representing complex biomedical, formulary, and payer datasets.
·Agentic AI Orchestration: Build autonomous AI agents using frameworks like LangGraph or CrewAI to automate market access queries, policy analysis, and competitive intelligence reporting.
·Generative AI & RAG: Develop Graph-RAG (Retrieval-Augmented Generation) pipelines to ensure AI models generate highly accurate, compliant, and explainable insights regarding global drug pricing and market access.
·Domain Leadership: Translate domain-specific pharma challenges (e.g., pricing, reimbursement, HEOR data, and payer policies) into actionable technical specifications.
·Model Evaluation & MLOps: Implement LLMOps to continuously evaluate, monitor, and refine the reasoning and tool-calling capabilities of deployed AI agents.
Core Technical Requirements
·Graph Databases: Expert-level proficiency in Neo4j, Cypher query language, and graph data modeling.
·GenAI & Agents: Hands-on experience with LLMs (GPT, Claude), vector databases (Pinecone, Weaviate), and agentic orchestration tools (LangChain, LangGraph, or AutoGen).
·Programming: Strong backend development skills in Python (FastAPI) or Node.js.
·Cloud Infrastructure: Experience deploying AI and graph solutions on AWS, GCP, or Azure.
·Domain Knowledge: Deep understanding of the Pharmaceutical Market Access ecosystem (P&T Committees, formulary data, value dossiers, and HEOR).
Qualifications & Experience
·Education: B.S. or M.S. in Computer Science, Data Science, Bioinformatics, or a related field.
·Experience: 8+ years in software/data engineering with at least 3+ years directly leading graph database projects and 2+ years building production-grade GenAI/Agentic AI systems.
·Pharma Experience: Proven track record of delivering compliant, audit-ready AI solutions within the Life Sciences or Pharmaceutical industry.