Director – Feasibility Data Science

ICON plc

Director of Feasibility Data Science at ICON responsible for advanced analytics and business transformation. Leading a data science team to enhance clinical trial feasibility and operational performance.

Posted 7/11/2026full-timeBlue Bell • Pennsylvania • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science teams to deliver actionable insights and advanced analytics solutions, with a strong foundation in statistical analysis, predictive modeling, and machine learning. Proven ability to communicate complex analyses effectively and influence decision-making across various functions.

Highest-signal resume keywords

Data Science LeadershipAdvanced Analytics SolutionsStatistical AnalysisPython ProgrammingPredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisPredictive ModelingMachine LearningSimulationOptimizationData InterpretationForecastingRisk PredictionScenario PlanningData Governance

Soft Skills

Exceptional CommunicationInfluencing SkillsCoachingTeam DevelopmentProblem Solving

Tools & Technologies

PythonRSQL

Industry Keywords

BiostatisticsQuantitative StrategyCROPharmaceuticalHealthcareClinical Research

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Leading and inspiring a data science team to deliver actionable insights that improve performance, quantify value, and enable smarter decisions
Building a strategic analytics roadmap and delivering high-impact solutions—forecasting, risk prediction, scenario planning, and optimization to improve cycle time and outcomes
Establishing best practices for analytics delivery, governance, and model lifecycle management to support scalable and reliable insights
Improving data foundations by collaborating with platform and data teams—strengthening data quality, access, definitions, and automation
Partnering with functional leaders to define problems, shape solutions, and embed insights into day-to-day decision-making and operational processes
Communicating with clarity and influence—turning complex analysis into compelling narratives and recommendations for leadership and sponsors.

Requirements

What you’ll need

Bachelor’s degree in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, Epidemiology, Operations Research, Biomedical Informatics, Engineering, or a related field
Advanced degree preferred, preferably Master’s or PhD in a quantitative, computational, or health-related discipline
Significant experience in data science, advanced analytics, biostatistics, or quantitative strategy within CRO, pharmaceutical, biotechnology, healthcare, or clinical research settings
Track record of delivering advanced analytics solutions that changed business performance, ideally in complex operational environments
Experience leading teams and developing talent; comfortable coaching, setting direction, and building a high-performing culture
Strong knowledge of statistical analysis, predictive modeling, machine learning, simulation, optimization, and data interpretation
Proficiency in relevant analytical and programming tools such as Python, R, SQL, and related platforms
Confident stakeholder partner with exceptional communication skills and the ability to influence across functions and levels.

Benefits

Comp & perks

Competitive base salary and performance related incentives
Health and wellbeing programmes including medical, dental, and vision coverage where applicable
Retirement and pension plans
Life assurance and disability coverage
Employee assistance programmes and wellbeing resources
Learning and development opportunities through structured training and career pathways