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DeepHealth

AI-driven medical imaging and informatics platform

Technical Project Coordinator

Project ManagementUpdated on Nov 13
Full-timeNo salary listedRemote

About the Job

Responsibilities

  • Maintain and update project plans, timelines, and resource trackers for assigned healthcare IT and clinical AI projects.
  • Monitor progress against milestones, identify potential delays or bottlenecks, and escalate risks and issues to project leadership.
  • Coordinate cross-functional go-live readiness activities, including pre-launch requirements, testing checkpoints, and operational readiness criteria.
  • Draft and distribute project status updates and go-live communications to internal teams and external stakeholders.
  • Serve as a central point of contact for project queries and information flow among engineering, clinical, product, and client-facing teams.
  • Schedule project meetings, prepare agendas and pre-read materials, capture decisions and action items, and follow up with owners through completion.
  • Organize and maintain project repositories, templates, agreements, manuals, and reports with current, accessible version control.
  • Support dependency tracking across workstreams and help keep delivery aligned to agreed scope and timelines.
  • Apply established PMO processes and tools, such as Jira, Confluence, or equivalent, to keep status accurate and visible.
  • Contribute to continuous improvement of project tracking, documentation, and communication practices.

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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