Oncology utilization management, real-world data and virtual cancer care
OncoHealth runs technology-enabled cancer treatment review for health plans and providers, backed by a hybrid Azure and AWS data stack (Databricks, Spark, Airflow, Prefect, Azure Data Factory) feeding Power BI and Tableau. Hiring is accelerating across clinical review, operations and support, and recurring pain points cluster around prior authorization speed, SLA and turnaround compliance, which points to a case-review operation under throughput pressure.
Notable leadership hires: Medical Director
OncoHealth is an Atlanta, Georgia-based digital health company founded in 2009, privately held, with 201–500 employees. It serves health plans, employers, providers, patients and researchers dealing with cancer care. Its offerings span oncology treatment review and utilization management, real-world evidence and data analytics, and virtual care across cancer types. Specialty areas include radiation therapy, molecular and genetic testing, imaging and pharmaceutical coverage policies. The company operates in the United States.
OncoHealth uses Azure, AWS, Databricks, Apache Spark, Airflow, Prefect and Azure Data Factory for data, Power BI and Tableau for analytics, C#, React and Angular for apps, plus Salesforce, HubSpot, Zendesk and Okta.
Yes, hiring is accelerating in the United States, concentrated in healthcare, operations, support and sales roles, with a Medical Director among notable leadership openings.
Current initiatives include real-world oncology data and analytics, improving the prior authorization review process, and campaigns to drive adoption of its digital authorization platform among providers.
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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.