Edwards AT team is looking to create solutions for patients many years into the future and shape the future of structural heart technology. The Clinical Affairs team aims to increase access to pioneering technologies for patients in need by evaluating data and driving evidence to optimize patient outcomes.
Requirements
- 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.)
- Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
- 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
Responsibilities
- 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
Other
- Bachelor's degree in computer science, Engineering, Biostatistics or Scientific field, Plus 8 years related experience including either industry or industry/education
- Master's degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field, Plus 7 years related experience including either industry or industry/education
- Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field, Plus 4 years related experience including either industry or industry/education Required
- Excellent documentation and communication skills
- Excellent interpersonal relationship skills including negotiating and relationship management skills
