Lunit Cancer Screening sells AI reading tools for chest X-ray, mammography and breast tomosynthesis into hospital radiology workflows, shown by PACS, HL7 and Epic Systems in its stack. Behind that sits a cloud-native ML platform of Go, Python, Kubernetes, Kafka and Argo CD across AWS, GCP and Azure. Senior-weighted, accelerating hiring in Japan and South Korea centers on distributed image inference, GPU efficiency and model registry work.
Notable leadership hires: Medical Director, HR Team Lead
Lunit Cancer Screening is the screening-focused arm of Lunit, a public company building medical AI for cancer detection. Its radiology suite covers chest X-ray analysis, chest X-ray triage for emergency use in the US, 2D mammography and digital breast tomosynthesis. Customers are hospitals and imaging providers whose radiologists use the AI inside existing clinical systems. The business is headquartered in Seattle, employs 201–500 people, and is currently recruiting in Japan and South Korea.
Its stack includes Go, Python, TypeScript, React, PostgreSQL, Kafka, Kubernetes, Docker, Terraform and Argo CD across AWS, GCP and Azure, plus PACS, HL7 and Epic Systems for clinical integration.
Hiring is accelerating, with roles in Japan and South Korea spanning engineering, support, HR, data, legal, product and marketing, including Medical Director and HR Team Lead positions.
Current work includes Lunit INSIGHT implementations, Lunit SCOPE backend development, a distributed image inference system, a model registry pipeline, AI biomarkers and digital pathology products.
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Lunit Cancer Screening'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.
