Clinical Data Science Lead

ICON plcBurlington, PE
Onsite

About The Position

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. As a Clinical Data Science Lead at ICON, you will drive data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions.

Requirements

  • Bachelor's degree in life sciences, computer science, or a related discipline
  • Extensive experience in data analysis and project leadership within a clinical research setting.
  • Strong expertise in statistical software and data visualization techniques.
  • Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights.
  • Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams.
  • Willingness to travel as required (approximately 15%)

Responsibilities

  • Manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes.
  • Leading the design and implementation of data science strategies to enhance clinical trial data analysis.
  • Collaborating with cross-functional teams to identify key data requirements and analytical needs.
  • Overseeing the development of statistical models and analytical tools to optimize data interpretation.
  • Mentoring and guiding team members in best practices for data analysis and visualization.
  • Communicating findings and insights to stakeholders through presentations and reports, influencing project direction.

Benefits

  • 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
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