Real-world oncology data and virtual care platform for health plans and providers
OncoHealth operates a digital health platform serving health plans, employers, providers, and patients across oncology care. The tech stack reveals a data-first architecture—Databricks, Python, PySpark, Apache Airflow, and Power BI dominate—paired with healthcare workflow tools (Dynamics 365, Okta, HubSpot). Current hiring concentration in healthcare (7 roles) and data (3 roles) reflects scaling operational capacity and analytics capability, while active projects center on case intake automation and utilization management—addressing a clear internal pain point: high-volume inbound call queues and SLA adherence.
Notable leadership hires: Medical Director
OncoHealth is a digital health company supporting more than 12 million people across the US and Puerto Rico with technology-enabled cancer care management. The platform spans treatment review, real-world evidence analytics, virtual care delivery, and utilization management across all cancer types. The company works with health plans, employers, providers, and researchers; revenue flows from multiple customer segments. OncoHealth is headquartered in Atlanta and has operated since 2009. The current hiring focus—healthcare staff, data engineers, and operational roles—indicates scaling of case intake and analytics operations.
OncoHealth uses Databricks, Python, PySpark, Apache Airflow, Power BI, Tableau, SQL Server, Azure Data Factory, and Azure DevOps for data infrastructure. Workflow and collaboration tools include Dynamics 365, HubSpot, Okta, Jira, and Confluence.
OncoHealth has 201–500 employees based in the United States, headquartered in Atlanta, Georgia.
OncoHealth's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.