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Lunit

AI-powered cancer detection and treatment

Technical Service Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listed

About the Job

Requirements

  • At least three years of professional experience in a related field.
  • Business-level English proficiency.
  • Basic understanding of the healthcare industry or information technology.
  • Interest in and motivation to engage with artificial intelligence technology.
  • Business perspective and ability to proactively pursue value creation.
  • Must reside in Japan and have Japanese proficiency appropriate for working in a Japanese business.

Responsibilities

  • Support implementation of Lunit INSIGHT, integrating it with PACS, workstations, image-reading systems, and related systems.
  • Work with customers' IT departments on system configuration and troubleshooting.
  • Provide implementation consulting from a technical perspective and coordinate with internal teams.
  • Provide technical support and respond to incidents.
  • Deliver technical training and create documentation for internal teams, partners, and customers.
  • Collect customer feedback and share it with headquarters to contribute to product improvements.
  • Provide technical support during presales and postsales activities, including bidding and security-related responses.
  • Serve as the point of contact for customers and partners on implementation projects.

Desired Qualifications

  • Knowledge of PACS and healthcare IT systems.
  • Knowledge of healthcare data integration standards such as DICOM and HL7.
  • Understanding of imaging modalities such as X-ray and mammography.
  • Troubleshooting and project-delivery capabilities.
  • Experience in the healthcare industry or medical artificial intelligence.
  • Basic knowledge of Linux environments.

About the Company

Lunit

AI-powered cancer detection and treatment

Lunit develops AI-powered software that helps hospitals detect cancer earlier and predict treatment responses by integrating into existing clinical workflows. Its AI analyzes medical images and related data to identify signs of early-stage cancer and forecast how well a treatment will work. Unlike some competitors, it has real-world deployments, such as nationwide use at Inje University Paik Hospital, and a global network of research partners, with a focus on integrating AI into current healthcare systems. Its goal is to improve cancer survival by enabling earlier detection and more personalized treatment planning.

Company size
201-500
Company stage
IPO
Headquarters
Seoul, South Korea
Founded
2013

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