Real-world oncology data platform for cancer research and clinical evidence
Flatiron Health operates a data infrastructure focused on extracting, validating, and commercializing real-world evidence from cancer care. The tech stack—R, Python, SQL, Snowflake, AWS, GCP—reflects a research-heavy, data-first organization. Active projects center on ML-derived dataset generation, AI validation, and unstructured clinical note extraction; pain points cluster around data quality, audit compliance, and scaling partnerships, suggesting Flatiron is navigating the friction between raw medical data collection and regulatory-grade evidence generation.
Notable leadership hires: Medical Director
Flatiron Health builds infrastructure to extract actionable insights from real-world cancer care data. The company works with healthcare providers, researchers, and life sciences customers to surface patterns from clinical records and patient outcomes at scale. Operations span six countries (US, UK, Canada, Germany, Japan, Peru), with hiring weighted toward data roles (5), research (4), and sales (7), reflecting a mix of technical capability building and go-to-market expansion. Active workstreams include data validation, ML feature generation for oncology models, and compliance automation.
Primary languages: R, Python, Java, C#, Go, C++. Data layer: SQL, Snowflake, PostgreSQL, MySQL, SQL Server. Cloud: AWS, GCP, Azure. Enterprise tools: HubSpot, Workday, Okta, NetSuite.
Core projects: ML-derived dataset generation for oncology, AI dataset validation, extraction of clinically relevant data from unstructured medical notes, real-world data variable development, and client-sponsored research studies.
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