Edwards Lifesciences Intern, Biostatistics in Irvine, California
The goal of this internship is to evaluate and implement different Bayesian approaches for both fixed and adaptive trial design. The intern will apply Bayesian modeling and computational techniques to both innovative clinical trial design and applied Bayesian data analysis in the medical device field. The intern is required to have strong experience in computer programming and excellent Bayesian analysis software skills such as R, and/or SAS.
Bachelor’s degree or Master’s degree candidate in data science, statistics and mathematics
Experience in Bayesian statistical modeling methods and simulation
Self-motivated and ability to work independently under general guidance
Internship applicants must be enrolled in an accredited Bachelor’s or Master’s program for the entire duration of their internship. Upon graduating, students are no longer eligible for an internship at Edwards.
Availability for an assignment for a minimum of 10 weeks.
Must be in good scholastic standing (3.0+ GPA or equivalent).
Must not require company sponsorship for employment-based visa now or in the future.
- Strong hands on experience with standard statistical software as SAS, R
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide.
For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.