Director, Feasibility Data Science

ICON plc

Director leading data science for ICON’s clinical trial feasibility and study activation teams. Delivering forecasting, optimization, and decision-support analytics to accelerate medicines for patients.

Posted 8/18/2026full-timeBlue Bell • Pennsylvania • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science initiatives, delivering advanced analytics solutions, and optimizing clinical trial processes through strategic insights and data-driven decision-making. Proficient in statistical analysis, predictive modeling, and programming tools essential for enhancing operational performance in healthcare and clinical research.

Highest-signal resume keywords

Data Science LeadershipAdvanced Analytics SolutionsStatistical AnalysisPython ProficiencyPredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisPredictive ModelingMachine LearningSimulationOptimizationData InterpretationAdvanced AnalyticsBiostatisticsQuantitative StrategyData Quality Improvement

Soft Skills

Exceptional CommunicationStakeholder PartnershipTeam LeadershipCoachingInfluencing Skills

Tools & Technologies

PythonRSQL

Industry Keywords

Clinical Trial FeasibilityProtocol OptimizationEnrollment ForecastingCROPharmaceuticalBiotechnologyHealthcareClinical Research

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead advanced analytics and data science capabilities supporting clinical trial feasibility, protocol optimization, study planning, country and site strategy, enrollment forecasting, and decision support
Lead and inspire a data science team to deliver actionable insights that improve performance, quantify value, and enable smarter decisions
Build a strategic analytics roadmap and deliver forecasting, risk prediction, scenario planning, and optimization solutions
Establish best practices for analytics delivery, governance, and model lifecycle management
Improve data foundations by collaborating with platform and data teams on data quality, access, definitions, and automation
Partner with functional leaders to define problems, shape solutions, and embed insights into operational processes
Communicate complex analysis as compelling narratives and recommendations to leadership and sponsors
Shape analytical standards and governance and advance technology-enabled study planning and feasibility

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
Legal right to work in the country where the role is based

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