Staff Data Scientist

Implantable Heart Failure Management (IHFM) Staff Data ScientistMany structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms organization, is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It is our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.At Edwards Lifesciences, the Implantable Heart Failure Management (IHFM) AI, Product and Platforms organization designs and builds the software and data products that clinicians and patients depend on. As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on for a problem class, set validation strategy, and raise the modeling rigor of the teams around you, while remaining deeply hands-on.Based in Irvine, CA, you'll join a high-impact medtech innovation hub in the heart of Orange County, collaborating in person with cross-functional teams to shape patient-focused technology.How You'll Make An ImpactApproach design.Advanced paradigms.Validation strategy.Reusable practice.Efficiency & scale.Research evaluation.Technical leadership.Model performance, optimization & process enablement.Stakeholder partnership, testing & reporting.Data governance, sourcing & enablement.What You'll Need (Required):Bachelor's in Computer Science, Engineering, Biostatistics or Scientific field plus 6 years of experience including either industry or industry / education -or- Master's plus 5 years -or- PhD plus 2 years.Relocation is not provided for this role. Only candidates within a 50-mile radius of Irvine, California will be considered.What Else We Look For (Preferred):Deep domain expertise in cardiac, hemodynamic, imaging, or physiological modeling.Recognized depth across multiple paradigms and architecture families, including self-supervised and multimodal approaches.Depth in one or more data modalities (physiological modeling, medical imaging, or multimodal fusion) and in calibration and uncertainty quantification.The ability to set modeling and validation standards that others follow, and to represent modeling decisions to clinical and regulatory partners.Fluency across the modeling stack (for example, PyTorch, PyTorch Lightning, and experiment tracking) sufficient to set team practice.Advanced generative or graph methods (diffusion models, graph neural networks), or federated learning methodology.Demonstrated technical leadership and mentorship.Performance engineering for training (C++, CUDA, JAX, or DeepSpeed).A history of shaping clinical validation strategy and regulatory submissions for models.Recognized research contributions in AI/ML for health.Active learning or weak supervision to reduce clinical labeling cost.Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For California (CA), the base pay range for this position is $126,000 to $178,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.COVID Vaccination RequirementEdwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.