· Own key trial-level analytics workstreams (e.g., enrollment forecasting, feasibility analysis, protocol input)
· Translate structured study requirements into analytical deliverables in collaboration with more senior TAIP colleagues
· Work within a specific clinical trial context, gaining exposure to operational strategy, protocol logic, and real-world trial planning challenges
· Build therapeutic area knowledge over time, contributing to more targeted and scientifically grounded analyses
· Ensure accuracy, consistency, and clarity in data models, dashboards, and insights shared with the study team
· Collaborate across geographies, coordinating with other analysts and team members globally
· Contribute to cost-related analyses, such as country mix optimization and study design trade-offs
· Support study optimization by analyzing site and patient burden, competitor activity, and external data sources
· Coordinate with field-based colleagues to integrate local insights into feasibility and planning analytics
· Utilize trial analytics platforms and tools to generate, structure, and communicate data-driven insights
· Support analytics that may inform clinical supply forecasting or site-level supply considerations
· Applies critical thinking to analyze complex data, challenge assumptions, and generate strategic, evidence-based recommendations