Senior AI Research Scientist

iCAD is a global healthcare technology company developing AI-powered solutions for earlier cancer detection and improved patient outcomes. The Senior AI Research Scientist will design and improve deep learning models for breast cancer detection and medical imaging, conduct algorithm research, analyze medical datasets, and collaborate across product, clinical, engineering, and regulatory teams. The role also includes model validation, technical documentation, regulatory compliance, and mentorship of junior researchers.

Responsibilities:

• AI Model Development: Design, develop, and optimize AI/ML models, specifically deep learning algorithms, to advance our breast cancer detection and imaging tools
• Algorithm Research: Conduct research to identify new methodologies, techniques, and technologies in artificial intelligence and machine learning that can be applied to medical image analysis
• Collaboration with Product Management: Work closely with Product Management to identify key innovation areas where AI can drive meaningful product functionality and market differentiation improvements. Contribute to strategic roadmaps by providing insights on AI trends and potential research breakthroughs that align with customer needs and business goals
• Data Analysis: Work with large medical datasets, performing data preprocessing, annotation, and enhancement tasks to improve the accuracy and efficiency of AI models
• Collaborate Across Teams: Partner with software engineers, radiologists, clinical teams, and other stakeholders to integrate AI solutions into production environments and evaluate their real-world performance
• Validation and Testing: Lead the testing and validation of AI models to ensure they meet regulatory standards, including FDA clearance, and are robust for clinical use
• Research Publications and Product Marketing Support: Provide write-ups, white papers, and technical documentation that clearly describe the functionality, benefits, and impact of AI models and innovations. Collaborate with Product Management and Marketing teams to highlight the key benefits of research deliverables for external audiences, including customers, investors, and healthcare professionals
• Mentorship: Provide mentorship and guidance to junior researchers and collaborate with cross-functional teams to accelerate research and development efforts
• Regulatory Compliance: Ensure all AI development activities comply with healthcare industry regulations and are accompanied by supporting documentation for submissions to regulatory bodies