Senior Principal Data Scientist

Innovation starts from the heart. Our Advanced Technology (AT) teams harness the imagination, courage, and resourcefulness to think beyond what’s currently possible, and create solutions for patients many years into the future. If you’re an early-stage innovator, then Edwards AT team is the place for you to take the next steps in your career. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology.

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.

You will make an impact by...

• Leading the development and implementation of machine learning solutions and large language models to optimize clinical trial processes

• Collaborating with cross-functional teams to apply predictive modeling, ensure data accuracy, and deliver insights through dashboards

• Driving AI/ML strategy and overseeing data governance for machine learning initiatives

• Providing expertise in the creation of machine learning and AI foundations for the assigned Business Unit Clinical Affairs

• Offering technical guidance on predictive modeling and algorithms to help team members optimize clinical trial data

• Identifying new objectives and goals to enhance business processes and improve model performance and data accuracy

• Partnering with internal and external stakeholders to plan implementation meetings, including testing and training machine learning models while monitoring outcomes

• Delivering dashboard reports to leadership on the effectiveness of machine learning tools and applications to support data-driven decision-making

• Leveraging various sources of data to develop enhanced solutions in collaboration with stakeholders across the business

• Developing procedures and guidelines to support the future of machine learning development within the assigned Business Unit

• Performing other incidental duties as assigned

What you'll need (Required):

• Bachelor's degree in computer science, Engineering, Biostatistics or Scientific field, with 8 years related experience including either industry or industry/education 

• Master's degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field, with 7 years related experience including either industry or industry/education

• Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field, with 4 years related experience including either industry or industry/education

What else we look for (Preferred):

• Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.)

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

• Experience in data visualization tools (i.e. Qlikview, Tableau, etc.)

• Experience with using web services (e.g., Redshift, S3, Spark, etc.)

• Excellent documentation and communication skills

• Excellent interpersonal relationship skills including negotiating and relationship management skills

• Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)

• Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word, and Access)

• Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com) preferred

• Excellent and successful project management skills

• Recognized as an expert in own area within the organization

• Expert knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems

• Advanced problem-solving, organizational, analytical and critical thinking skills

• Expert understanding of processes and equipment used in assigned work

• Strong leadership skills and demonstrated ability to influence change

• Strict attention to detail

• Ability to interact professionally wi