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Syneos Health Interview Questions

The questions to prepare for Syneos Health interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
CodingStart here. 5 questions · ~48 min
Reverse a Patient Queue ListEasy
Practice

Reverse a singly linked list in place using pointer manipulation, and explain the iterative approach clearly.

RecursionLinked ListsArraysSyneos Health
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2
SQL & Data Manipulation5 questions + 1 drill · ~58 min
Rolling Retention Rates Across SitesHard
Practice

Calculate site-level rolling 30-day patient retention using self-joins, conditional aggregation, and window functions.

Window FunctionssqlSyneos Health
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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3
Execution5 questions · ~48 min
Balancing Speed Quality and ScopeHard
Recently asked

Describe a time you had to choose between speed, quality, and scope, and how you aligned stakeholders around the trade-off.

Trade-offsRisk AssessmentScope ManagementSyneos Health
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4
Metrics5 questions · ~48 min
Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsSyneos Health
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5
Product Sense5 questions · ~48 min
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentSyneos Health
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6
Strategy5 questions · ~48 min
Salary ExpectationsEasy

Tests compensation alignment for the Research Scientist role.

EstimationPricing StrategySyneos Health
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7
More topics20 questions · ~190 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySyneos Health
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningSyneos Health
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.