The Principal Data Engineer will develop automated data processes and transform heterogeneous healthcare datasets into reusable models for RWE studies. They will also collaborate with cross-functional teams to build FAIR-compliant data pipelines and create AI-ready datasets.
You will design, develop, and maintain R packages and Shiny applications to support statistical and programming teams. The role involves collaborating with cross-functional teams to build scalable solutions for data analysis and reporting.
Provide high-quality statistical support and oversight for clinical studies and regulatory submissions for key FSP clients. Responsibilities include developing statistical analysis plans, performing sample size calculations, and potentially providing line management or project leadership.
