Technical Services Engineer
DeepHealth
Technical Services Engineer
DeepHealth
AI-driven medical imaging and informatics platform
Job Summary
The Technical Services Engineer is the first point of contact for users, providing expert support, troubleshooting issues, and contributing to a seamless healthcare IT experience. This role works closely with cross-functional teams to resolve incidents, maintain high service quality, and continuously improve support processes.
Project coordination and task ownership while serving as the primary point of contact for customer communication and issue resolution.
Serve as the primary implementation resource for client projects from kick-off through completion
Second-level support for healthcare IT systems, including troubleshooting and resolving escalated technical issues.
Respond to user inquiries via phone, email, and ticketing systems in a timely and professional manner.
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.
Contribute to the continuous improvement of support processes and knowledge base.
Ensure compliance with regulatory standards and internal IT policies.
Support key customers and maintain positive relationships, providing updates and guidance as needed.
PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.
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.
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