Director, Feasibility Data Science

• 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 deliver 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 leadership and sponsors.

• 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.

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance
• Pension plan, Employment with ICON is contingent upon having the legal right to work in the country where the role is based.

Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.

Benefits may include:

• 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

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers. ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. We are currently seeking a Director, FSA Data Science (Feasibility Site Activation) to drive advanced analytics and business transformation across ICON's Feasibility, Study Start-up and Activation (FSA) teams. In this role, you will lead the design and delivery of advanced analytics and data science capabilities that support clinical trial feasibility, protocol optimization, study planning, country and site strategy, enrollment forecasting, and related decision support across the clinical development lifecycle. Partnering with cross-functional leaders, you will translate complex clinical and operational questions into scalable analytical solutions, reusable methods, and decision-ready insights. This position also involves leading a high-performing team, shaping analytical standards and governance, and advancing a modern, technology-enabled approach to study planning and feasibility.