AI is not eliminating clinical trial budget analyst roles - it is changing them. As protocol-to-budget automation improves, the profession is increasingly dividing into two distinct paths: reviewers who validate AI-generated budgets and strategists who focus on FMV, negotiations, country-specific costs, and stakeholder management.
Observational studies are often misunderstood in clinical trial budgeting. This article explains how to scope observational and non-interventional study budgets correctly, what costs should always be included, when additional procedures need to be coded, and how to handle common edge cases that create confusion during budget build.
Central vs. local lab assumptions are one of the fastest ways to either overbuild or underbuild a clinical trial budget. This article breaks down how to code each setup correctly, how mixed lab models should be handled, and which assumptions must be documented to avoid costly rework, sponsor pushback, and site payment issues.
A practical, non-clinical guide to reading clinical trial protocols for budgeting. Learn what matters, what to ignore, and how to extract the information needed to build accurate site budgets.
