Mgr, GHER TMTT Real World Evidence

Edwards Lifesciences • Irvine, CA

1d • Onsite

About The Position

Manager – GHER TMTT Real-World Evidence This role represents an exciting opportunity to join the Global Health Economics & Reimbursement (GHER) team supporting patient access to innovative transcatheter mitral and tricuspid valve technologies (TMTT) at Edwards Lifesciences. As Manager, Real-World Evidence, you will contribute to the planning and execution of real-world evidence (RWE) generation projects using real-world data (RWD) to address patient unmet needs and overcome market access barriers. This individual will serve as a strategic business partner to cross-functional stakeholders across Edwards, collaborating to advance enterprise objectives. The ideal candidate brings strong experience in outcomes research with a demonstrated interest in advanced analytics and data science. This position reports to the Senior Director, Real-World Evidence and is based at Edwards’ corporate headquarters in Irvine, California. How you will make an impact: Partner with cross-functional stakeholders to translate business questions into actionable data and analytics requests. Design observational studies, including endpoint definition and operationalization. Collaborate in the development and execution of statistical analysis plans for assigned studies. Develop and implement data management plans across multiple relational databases. Serve as programming lead for relational databases to create high-quality research datasets. Conduct descriptive, inferential, and predictive analyses using real-world research datasets. Collaborate closely with data management and statistical programming teams within TMTT and Corporate functions. Perform data mining and ad hoc analyses to generate evidence-based insights that inform business decisions. Develop customized analyses, reports, and data visualizations to communicate findings to internal stakeholders. Provide analytic, statistical, and visualization support for internal reports, conference posters, podium presentations, and peer-reviewed publications. Contribute to authoring results sections of study reports, abstracts, and manuscripts. Stay current with advances in statistics, analytics, data visualization, and medical device development through literature review and professional engagement.

Requirements

• Bachelor’s degree in life sciences, public health, health policy, statistics, health informatics, data science, or a related field required or equivalent work experience based on Edwards criteria
• Minimum of 8 years of experience in analytics, statistics, data science, or outcomes research or equivalent work experience based on Edwards criteria

Nice To Haves

• Demonstrated proficiency in SQL and R or Python.
• Hands-on experience with data management, data cleaning, and data manipulation.
• Strong working knowledge of applied statistical methods.
• Experience conducting analyses using real-world data sources (e.g., claims, EMR, administrative data, adaptive or observational study designs).
• Experience with longitudinal data analysis, generalized linear models, survival analysis, and propensity score methods.
• Proven ability to build trusted, collaborative relationships with business partners.
• Excellent written and verbal communication skills, including the ability to convey complex analyses to non-technical audiences.
• Advanced degree (e.g., MPH, MSc, PhD) strongly preferred.
• Experience applying advanced analytic methods, including machine learning or predictive modeling.
• Experience developing and validating prediction models related to health outcomes.
• Proficiency with data visualization tools such as Tableau or Power BI.
• Track record of authorship or contribution to peer-reviewed publications.
• Prior experience in, or strong familiarity with, the medical device industry.
• Experience collaborating with external stakeholders (e.g., payers, hospitals, physicians, professional societies) to develop evidence-generation strategies supporting portfolio planning, commercialization, and market access.

Responsibilities

• Partner with cross-functional stakeholders to translate business questions into actionable data and analytics requests.
• Design observational studies, including endpoint definition and operationalization.
• Collaborate in the development and execution of statistical analysis plans for assigned studies.
• Develop and implement data management plans across multiple relational databases.
• Serve as programming lead for relational databases to create high-quality research datasets.
• Conduct descriptive, inferential, and predictive analyses using real-world research datasets.
• Collaborate closely with data management and statistical programming teams within TMTT and Corporate functions.
• Perform data mining and ad hoc analyses to generate evidence-based insights that inform business decisions.
• Develop customized analyses, reports, and data visualizations to communicate findings to internal stakeholders.
• Provide analytic, statistical, and visualization support for internal reports, conference posters, podium presentations, and peer-reviewed publications.
• Contribute to authoring results sections of study reports, abstracts, and manuscripts.
• Stay current with advances in statistics, analytics, data visualization, and medical device development through literature review and professional engagement.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager