Statistical Analyst - ADaM Programming (Hybrid)
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 SAS macro you wrote or improved. How did you make it reusable for others?
What they are checking: Whether they write macros that are parameterized, documented and validated for others, since shared standard code reduces errors across many studies and programmers.
Tell me about a time you led the programming on a study. How did you split and track the work?
What they are checking: Whether they can plan, divide and track study programming work on their own, which this role expects without much day-to-day supervision from leads.
What would you do
A statistician changes the analysis definition a week before database lock. How do you handle it?
What they are checking: Whether they can assess the impact of late changes, update specs and revalidate under deadline, without letting timelines quietly weaken the quality of outputs.
About the work
Walk me through how you build an ADSL from SDTM. What decisions come up along the way?
What they are checking: Whether they know how ADSL is derived from SDTM, including population flags and treatment dates, since every downstream analysis dataset depends on getting it right.
How do you set up a BDS dataset for a lab or vital signs analysis, including baseline and change from baseline?
What they are checking: Core ADaM BDS concepts like PARAMCD, AVAL, BASE, CHG and analysis flags.
What goes into an ADaM specification, and how do you keep it in sync with the code?
What they are checking: Whether they keep specifications and code aligned and traceable, because regulators and reviewers need to follow every derived value back to its source data.
How do you approach double programming to validate a TLF, and what do you do when your numbers do not match?
What they are checking: Whether they program independently and investigate mismatches to the root cause, rather than adjusting code until numbers agree, which defeats the purpose of validation.
What is in an Analysis Data Reviewer's Guide and a define.xml, and who reads them?
What they are checking: Whether they understand that FDA reviewers use the ADRG and define.xml to navigate datasets, so unclear documentation slows review and raises questions about the submission.
How would you set up integrated datasets across several studies for an ISS or ISE?
What they are checking: Whether they can harmonize differing dictionary versions, terminology and structures across studies, because integrated safety and efficacy analyses depend on consistent pooled data.
How do you decide what kind of figure best shows a treatment effect to a clinical team?
What they are checking: Whether they choose figures that make treatment effects clear and honest for clinicians, since a poorly chosen chart can mislead the people making study decisions.
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As published by AbbVie.