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Buck Institute for Research on Aging Interview Questions

The questions to prepare for Buck Institute for Research on Aging interviews, across all roles. Questions from real interview reports rank first. Updated daily.

10questions
~2htotal time
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1
SQL & Data ManipulationStart here. 1 question + 2 drills · ~29 min
Rolling 7-Day Average with Window FunctionsMedium
Practice

Calculate patient rolling 7-day averages and rank patients within each Medpace research site using layered window functions.

Window FunctionsRankingRunning TotalsBuck Institute for Research on Aging
Window Functions for Running TotalsMedium
Practice
Practice drill

Use PostgreSQL window functions to calculate user running spend and rank users by total spend within each signup cohort.

Window FunctionsRankingRunning TotalsNewMarketDeloitteAllstate
SQL Rolling Average and RankingHard
Practice
Practice drill

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsLoftArcadisCgi Nederland
2
Product Sense2 questions · ~18 min
Balancing Metrics and InterpretabilityMedium

Evaluates your ability to communicate results effectively for biological decision-making.

model performancepresentation skillsBuck Institute for Research on Aging
AI Curation Tool MetricsMedium

Assesses how you translate research workflows into measurable product outcomes.

product metricsBuck Institute for Research on Aging

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3
A/B Testing & Experimentation2 questions · ~18 min
Small-Sample Experiment PitfallsMedium

Tests your ability to design robust experiments under small-sample constraints.

Sample SizeBuck Institute for Research on Aging
Experiment for Aging ClocksMedium

Assesses your experimental design for validating improvements to aging clock models.

experiment designBuck Institute for Research on Aging
4
Statistics & Probability2 questions · ~18 min
Type I vs Type II ErrorsMedium

Assesses your understanding of error tradeoffs and their implications for study conclusions.

Buck Institute for Research on Aging
Significance in High-Dimensional OmicsMedium

Evaluates your statistical rigor for multiple testing and high-dimensional inference.

Data AnalysisStatistical SignificanceBuck Institute for Research on Aging
5
Metrics1 question · ~9 min
Diagnosing Pipeline Metric DropsMedium

Tests your debugging and monitoring strategy for data pipeline regressions.

data pipelineDiagnosisBuck Institute for Research on Aging
6
Behavioral & Leadership2 questions · ~18 min
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The finish line: interview-readyComplete all 10 questions plus 2 hands-on drills to finish this plan.