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DeepHealth

AI-driven medical imaging and informatics platform

Technical Support Engineer

IT Service Desk & End User SupportUpdated on Nov 13
Full-timeNo salary listedRemote

About the Job

Requirements

  • Provide first- and second-level support for healthcare IT systems, including troubleshooting and resolving technical issues.
  • Respond to user inquiries via phone, email, and ticketing systems in a timely and professional manner.
  • Collaborate with IT, Product, and Engineering teams to escalate and resolve complex issues.
  • Maintain detailed records of incidents, solutions, and workflows in the ticketing system.
  • Assist with system updates, installations, and user onboarding for new software and hardware.
  • Ensure compliance with regulatory standards and internal IT policies.
  • Support key customers and maintain positive relationships, providing updates and guidance as needed.

Responsibilities

  • Provide first- and second-level support for healthcare IT systems, including troubleshooting and resolving technical issues.
  • Respond to user inquiries via phone, email, and ticketing systems.
  • Participate in a rotating schedule to monitor the support queue, triage incoming tickets, and assign them to the appropriate product or functional team.
  • Collaborate with IT, Product, and Engineering teams to escalate and resolve complex issues.
  • Maintain detailed records of incidents, solutions, and workflows in the ticketing system.
  • Assist with system updates, installations, and user onboarding for new software and hardware.
  • Contribute to the continuous improvement of support processes and knowledge base.
  • Ensure compliance with regulatory standards and internal IT policies.
  • Support key customers and provide updates and guidance as needed.

About the Company

DeepHealth

AI-driven medical imaging and informatics platform

DeepHealth provides AI-powered medical imaging and health informatics solutions that help radiologists analyze X-rays, CTs, and MRIs by automating parts of image interpretation, highlighting areas of concern, and delivering quantitative insights. It works by integrating AI into radiology workflows via cloud-based software, enabling automated image analysis, scoring, and reporting within enterprise imaging systems. The company differentiates itself through its integration with RadNet and strategic acquisitions of iCAD and CIMAR UK, expanding breast imaging capabilities, interoperability, and the scale of its deployments. Its goal is to accelerate the adoption of AI in real-world healthcare, improve diagnostic accuracy and consistency, and streamline imaging workflows across hospitals and health systems.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Cambridge, MA
Founded
2017

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