Senior Manager, Trial Analytics, Insights & Planning (TAIP)
Core
Own key trial-level analytics workstreams including enrollment forecasting, feasibility analysis, and protocol input to support clinical trial planning and optimization.
Role type
Senior Manager, Trial Analytics, Insights & Planning (TAIP)
Builds
Data-driven insights, data models, and dashboards for study teams to inform clinical decisions and trial design.
Domain
Life Sciences / Clinical Trial Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Trial analytics, enrollment forecasting, feasibility analysis, protocol logic, data modeling, strategic recommendations, cost analysis, site/patient burden analysis, cross-functional collaboration, critical thinking
Preferred skills
Advanced degree (MSc, MPH, PharmD, PhD, MBA), therapeutic area knowledge, clinical trial planning experience, consulting experience
Technologies
MS Office (Excel, PowerPoint), trial analytics platforms
Responsibilities
Translate structured study requirements into analytical deliverables; ensure accuracy and clarity in data models and insights; collaborate globally with analysts and field-based colleagues; contribute to cost-related analyses and study optimization; utilize trial analytics tools to generate insights; apply critical thinking to challenge assumptions and generate strategic recommendations.
Seniority
Senior Manager, hands-on IC with strategic oversight
