Senior Scientist, AI​/ML & Computer Vision

At Edwards Lifesciences, the Advanced Innovation & Technology (AI&T) teams harness imagination, courage, and resourcefulness to think beyond what’s currently possible and create solutions for patients many years into the future.

As part of AI&T, we're building an AI Center of Excellence (COE) focused on applying the power of AI to help patients live longer, healthier lives. As we expand our focus across the structural heart disease journey, AI is creating new opportunities to better understand and improve patient care. Our teams are applying AI to support clinical decision-making, identify patients earlier, develop digital solutions that complement our therapies, and help employees work more efficiently so they can focus on work that matters most.

We're building an AI COE that collaborates across our innovation-focused teams throughout our global organization, helping accelerate innovation and build AI capabilities that create lasting impact for patients, clinicians, and employees. Together, we're committed to applying AI responsibly and thoughtfully while keeping patients at the center of everything we do.

This is a rare opportunity to help define how AI is applied across the structural heart disease journey while shaping the next generation of therapies, digital solutions, and patient experiences. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology.

How you will make an impact:

This role is focused on developing advanced computer vision models for medical imaging applications across echocardiography, computed tomography, and other cardiovascular imaging modalities to support efforts across the enterprise, working at the intersection of medical image analysis and product delivery. You will lead the design, development, validation, and translation of deep learning (DL) models that support research, product development, and clinical decision-making.

You will work closely with clinical, engineering, regulatory, and product teams to ensure that AI solutions meet the scientific rigor, performance expectations, and quality requirements necessary for deployment in regulated healthcare environments. The role requires independence and fast-paced, responsible development of DL models with the methodological rigor that is necessary to clear established evaluation and regulatory standards.

Key responsibilities

• Design, train, fine-tune, and validate deep learning computer vision models for medical imaging applications.
• Develop AI capabilities for image quality assessment, anatomical segmentation, landmark detection, geometric measurement, patient screening, procedural planning, and clinical decision support.
• Advance the development of in-house medical imaging foundation models through large-scale supervised, self-supervised, and transfer-learning approaches.
• Ensure models generalize across multiple imaging vendors and acquisition protocols, not only a single reference dataset.
• Partner closely with AI Evaluation, Quality, Regulatory Affairs, and Software Engineering teams to support verification, validation, risk assessment, and regulatory documentation activities.
• Rigorously evaluate models for systemic bias and stand up MLOps frameworks to monitor for performance drift or shift across different datasets.
• Drive research and experimentation to explore new AI and machine learning techniques, tools, and frameworks.
• Collaborate with data scientists, software engineers, product managers, and business leaders to define requirements and develop AI and machine learning solutions.
• Design, develop, and deploy scalable, efficient AI and machine learning models for prototypes and production use.
• Build end-to-end data pipelines for…