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Updated weekly · Last refresh Oct 17

Biohub Data Scientist Interview Questions

The questions to prepare for a Biohub Data Scientist interview. Questions from real interview reports rank first. Updated daily.

26questions
~4htotal time
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1
Machine LearningStart here. 5 questions · ~42 min
Training a Multimodal ModelHard

Tests multimodal ML training approach for biological data integration.

Biohub
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2
System Design3 questions · ~25 min
Real-Time Public Cell Portal ArchitectureHard

Tests system design for interactive, large-scale analytics in a public cell portal.

Biohub
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3
Pipelines3 questions · ~25 min
Optimizing Storage for Multimodal DataMedium

Tests data storage format selection and performance optimization for multimodal workloads.

data storageBiohub
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4
Behavioral & Leadership7 questions · ~59 min
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5
More topics8 questions · ~68 min
Avoid Pitfalls in Online ExperimentsHard

Explain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.

Network InterferenceNovelty EffectSample Ratio MismatchBiohub
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisBiohub
SQL Window Functions RankingEasy
Practice

Use PostgreSQL CTEs and ROW_NUMBER to return the top three products by monthly revenue within each category.

Window FunctionsRankingGroup ByBiohub
Sample Size for Engagement LiftHard

Tests power analysis and experimental design for measuring engagement at Biohub.

MDEPower AnalysisSample SizeBiohub
Portal Metrics for Research ImpactMedium

Tests metric design for measuring research usage and outcomes at Biohub.

product metricsRetentionuser engagementBiohub
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL Window Function RankingEasy
Practice
Practice drill

Rank customers by total revenue within each region using a window function.

Window FunctionsRankingGroup ByCapgemini FSSBUCapgemini InventAAccenture España
Rolling Transaction SQL and RankingHard
Practice
Practice drill

Calculate each user's 7-day rolling transaction average and daily spend rank using PostgreSQL window functions.

Window FunctionsDate FunctionsRankingGGreen ExchangeAANT SolutionRakuten
The finish line: interview-readyComplete all 26 questions plus 2 hands-on drills to finish this plan.