Backend Engineer

• Design and implement the company’s core graph database architecture (likely Neo4j)
• Create advanced graph models representing patients, biomarkers, protocols, events, and relationships across multi-modal data
• Enable high-context queries such as 'find patients with similar longitudinal patterns'
• Build the entire normalization and deduplication engine
• Implement fuzzy matching & entity resolution for unifying messy, multi-source health data
• Establish rules, heuristics, confidence scores, and automated unification pipelines
• Design a transparent lineage layer where every data point tracks: source timestamp, reliability, transformation path, confidence scoring
• Architect storage optimized for high-frequency time-series signals (CGM, wearables, diagnostics)
• Build APIs enabling complex graph queries and multi-relationship traversal

Senior Data Engineer – Neo4j, Cypher, Graph, Entity, Python

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