Clinical Research Scientist
DeepHealth
Clinical Research Scientist
DeepHealth
AI-driven medical imaging and informatics platform
The Clinical Research Scientist I conducts analyses that help DeepHealth evaluate new product opportunities, understand clinical needs, and assess the performance and potential impact of AI-enabled medical imaging products. Working within the Clinical Development division, this scientist translates clinical and product questions into analytical tasks, analyzes real-world healthcare data, and communicates findings that support product decisions and inform clinical evidence activities. The position works under guidance while taking responsibility for assigned analyses and developing expertise in medical imaging and clinical analytics.
NOTE: Candidate must reside in Massachusetts
Essential Duties and Responsibilities
Collaborate with clinical, product, and technical teams to deliver analytics supporting clinical AI product validation.
Query, combine, clean, and validate healthcare datasets, working with technical teams to resolve data issues 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, checking the accuracy of code and outputs and documenting 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.
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.
Explore more opportunities at DeepHealth