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DeepHealth

AI-driven medical imaging and informatics platform

Clinical Research Scientist

Quantitative Biology & BiostatisticsPosted on Nov 11
Full-timeBoston, MA, USANo salary listed

About the Job

Responsibilities

  • Collaborate with clinical, product, and technical teams to deliver analytics supporting clinical AI product validation.
  • Query, combine, clean, and validate healthcare datasets, resolving data issues with technical teams and documenting definitions and limitations.
  • Conduct exploratory and statistical analyses to characterize patient populations and clinical workflows, assess product performance, and evaluate the feasibility and potential clinical value of new product opportunities.
  • Develop reproducible analyses and reusable tools, check the accuracy of code and outputs, and document assumptions, methods, and analytical decisions.
  • Communicate findings and practical implications with non-technical stakeholders to support product decisions, clinical evidence planning, and scientific communications.
  • Follow applicable data privacy, security, and quality requirements.

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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