Senior Clinical Data Scientist

Imagine how your ideas and expertise can change a patient’s life. We generate extensive clinical evidence to demonstrate the effectiveness and safety of our innovations and how our products transform patients’ lives. As part of our Clinical Affairs team, you’ll hone your scientific curiosity and passion for evaluating data to increase access to pioneering technologies for patients in need. In close partnership with principal investigators, dedicated medical professionals, patient advocacy groups, and regulatory authorities, you will drive the evidence needed to optimize patient outcomes.

Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and undertreated. Edwards’ groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.

The Senior Clinical Data Scientist – THV will drive measurable business and program impact by applying advanced analytics, machine learning, and generative AI to deliver high‑value insights and data‑driven recommendations. This role partners across diverse stakeholders to optimize decision‑making, enhance model performance, and innovate with emerging AI capabilities—including large language models (LLMs) and AI‑assisted development tools.

This is an on-site role based in our corporate headquarters in Irvine, CA. Selected candidate must reside in Local Region.
You will make an impact by:

• Design, build, test, and optimize advanced machine learning models—including NLP, deep learning, and large language models—to support strategic use cases and business outcomes.

• Develop and refine complex algorithms; evaluate model results; generate actionable recommendations; and communicate findings to both technical and non‑technical audiences.

• Analyze, interpret, and report on complex data sets, algorithmic outcomes, and ML performance metrics.

• Cleanse, label, and validate both structured and unstructured data, ensuring accuracy, completeness, and model readiness.

• Experiment with new data sources and integrations to improve model performance and operational efficiency.

• Identify and implement analytics tools and platforms (Python, SQL, Power BI, etc.) to elevate the data science tech stack and accelerate productivity.

What you'll need (Required):

• Bachelor's Degree in a related field (e.g., Computer Science, Engineering, Biostatistics, or a Scientific field), 4 years of previous experience

• Master's Degree or equivalent in in related field (e.g. Computer Science, Engineering, Biostatistics or Scientific), 3 years’ experience including either industry or industry/education

• Experience with cloud services (e.g., AWS and Snowflake)

• Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.) such as Boosting Model and Decision Forests

• Experience with Large Language Model (LLM) and Natural Language Processing (NLP)

• Experience using statistical computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets

• Experience with Electronic Health Record

What else we look for (Preferred):

• Leverage generative AI tools (e.g., Github Copilot and Python LLM frameworks) to accelerate exploration, prototyping, and automation across data science workflows.

• Use AI‑assisted coding tools (e.g., GitHub Copilot, SQL copilots, and generative Python assistants) to streamline development, documentation, and testing workflows.

• Author and maintain detailed design control documents, including algorithm requirements, validation plans, and risk assessment documentation.

• Support internal and external partners with analytics methodology, metrics, and reporting best practices.

• Work cross‑functionally with engineering, product, clinical, commercial, and external partners to translate business needs into robust analytical solutions.

• Provide technical guidance and mentorship to peers and partner teams on ML, LLMs, and responsible AI practices.

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 $108,000 to $153,000 (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 Requirement

Edwards 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.