Data Scientist

Data Scientist, Transcatheter Heart Valve (THV)

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 under-treated. 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.

As a Data Scientist at Edwards THV, you will optimize the impact of programs across stakeholders by using deep analytical insights, machine learning (ML), and Artificial Intelligence (AI) to make data-driven decisions and recommendations.

You will make an impact by...

• Preparing and acquiring tabular, text, and imaging data for AI model development

• Processing, cleansing, and verifying data integrity used for ML/AI model development

• Analyzing, testing, interpreting, and reporting complex data-driven insights, algorithmic results, and ML/AI model performance

• Developing, testing, and/or improving complex ML and AI algorithms on multimodal data

• Cleansing and labeling structured and unstructured data in collaboration with team members

• Providing input to design control documents including algorithm requirement specs, and risk documents

• Researching new opportunities to integrate with additional data sources that support optimization

• Conducting research and staying up to date with the latest advancements in ML, AI, NLP, and computer vision

What you'll need (Required):

• Ph.D. Degree in related field (e.g. Computer Science, Data Science, Biomedical Engineering, Biostatistics, or related) Or

• Master's Degree in related field (e.g. Computer Science, Data Science, Biomedical Engineering, Biostatistics, or related) Plus 1 year related experience 

• Proficiency in Python programming to manipulate large data sets Proven experience in ML/AI model development

• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)

What else we look for (Preferred):

• Excellent problem-solving skills and the ability to work independently and collaboratively

• Experience with cloud-based data storage and processing solutions

• Familiarity with data visualization tools and techniques; Able to effectively communicate information through visuals

• Working knowledge of processes and equipment used in assigned work with the ability to resolve a variety of issues

• Strong communication skills and the ability to present complex information to non-technical stakeholders

• Ability to interact professionally with all organizational levels; Good written and verbal communication skills and interpersonal relationship skills

• Ability to manage competing priorities in a fast-paced environment

• Will adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control

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, the base pay range for this position is $85,000 to $120,000 (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.