In this role, you will contribute to graph-centric healthcare and life sciences initiatives focused on advanced analytics, AI-driven discovery, and knowledge graph engineering. You will help design and evolve scalable graph platforms that integrate multi-modal healthcare data, enabling research teams to model complex relationships, uncover insights, and support scientific decision‑making on modern cloud environments.

RESPONSIBILITIES

• Design and build healthcare knowledge graph pipelines, including data modeling, ingestion, validation, and operational workflows
• Define and evolve graph schemas, ontologies, and canonical data models
• Integrate heterogeneous data sources (public + proprietary) into a unified, queryable source of truth
• Enable discovery via graph analytics, embeddings, and intuitive interfaces for downstream applications
• Build lightweight tools (dashboards, notebooks, exploratory UIs) to make insights accessible <...