Senior Analyst, Global R&D Study Forecasting
Posted Oct 2, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a time you explained a financial variance to a non-finance audience.
What they are checking: Whether they can communicate financial results clearly to clinical teams.
Describe a time you improved a reporting process or tool.
What they are checking: Whether they look for ways to make finance work faster and more reliable.
How do you handle a lot of ad hoc requests while still meeting monthly deadlines?
What they are checking: Whether they can prioritize and manage their time during busy periods.
What would you do
A study's spending is running well ahead of forecast. How do you figure out why?
What they are checking: Whether they can investigate variances with clinical teams instead of just reporting numbers.
The clinical team says a cost is coming next quarter, but finance needs it booked now. How do you handle it?
What they are checking: Whether they understand accrual timing and can resolve differences between teams.
How would you build a good working relationship with clinical study managers who see finance as a burden?
What they are checking: Whether they can partner with clinical teams and show the value of accurate forecasts.
About the work
Walk me through how you would build a monthly forecast for an oncology clinical trial budget.
What they are checking: Whether they understand the cost drivers like enrollment, site costs and CRO fees in clinical studies.
What is the difference between Plan, LBE and LRP, and how does your work change for each?
What they are checking: Whether they understand the planning cycles they will support in this role.
How would you run scenario planning for a study whose enrollment timeline is uncertain?
What they are checking: Whether they can model different outcomes and help leaders plan for risk.
How do you make sure the data you pull from different systems is accurate before you report it?
What they are checking: Whether they check and reconcile data carefully rather than trusting it blindly.
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As published by AbbVie.