Description
The role leads customized real-world data and real-world evidence solutions for life sciences partners, translating statistical analysis plans into R code, developing analytic datasets and visualizations, and serving as a subject matter expert across EHR, clinico-genomics, machine-learning, and claims data. Responsibilities include mentoring junior staff, collaborating with medical and scientific stakeholders, improving analytical tooling, and providing regulatory-quality feedback on study specifications. The position requires a doctorate or advanced degree with substantial relevant experience, strong R and Git skills, extensive healthcare data experience, team leadership experience, and familiarity with CDISC and regulatory programming guidance.
