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.
Compensation
$110,000-$130,000 per year
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
Conducts analyses to support DeepHealth’s clinical AI product validation and decision-making.
Locations (2)
Somerville, Massachusetts, United States
Boston, Massachusetts, United States
Compensation
Based on experience, $110,000-$130,000
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.