Mgr, GHER TMTT Real World Evidence

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.

What you will need (required):

• 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

What else we look for (preferred):

• 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.

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 $126,000 to $178,000 (highly experienced).

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