Principal Clinical Data Scientist

Imagine how your ideas and expertise can change a patients 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 youll hone your scientific curiosity and passion for evaluating data to increase access to pioneering technologies for patients 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 withoutthe need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partnerwith cardiologists and clinical teams to transform patient care with devices supported by clinicalevidence. Its our driving force to help patients live longer and healthier lives. Join us and be part of ourinspiring journey.

The Principal Clinical Data Scientist THV will drive measurable business and program impact by applying advanced analytics machine learning and generative AI to deliver highvalue insights and datadriven recommendations. This role partners across diverse stakeholders to optimize decisionmaking enhance model performance and innovate with emerging AI capabilitiesincluding large language models (LLMs) and AIassisted 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 modelsincluding NLP deep learning and large language modelsto 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 nontechnical 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 youll need (Required):

• PhD in a related field (e.g. Computer Science Engineering Biostatistics or a Scientific field) 2 years of previous experience

What else we look for (Preferred):

• 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

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

• Use AIassisted 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 crossfunctionally 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 $126000 to $178000 (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.