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Statistical Programmer II – ICON PLLC
About ICON
ICON is a global healthcare intelligence and clinical research organisation, united by a mission to bring new medicines and treatments to patients faster. At its heart are values of integrity, collaboration, agility, and inclusion, shaping how the team interacts with customers, patients, and suppliers.
About the Role
ICON is seeking a Statistical Programmer II to join their diverse and dynamic team. In this position, you will develop, validate, and execute statistical programs supporting clinical trial analysis and real-world evidence (RWE) studies, contributing to the accurate interpretation of critical data for successful project delivery.
Responsibilities
Key accountabilities include:
- Developing, validating, and maintaining complex statistical programs (primarily SAS), with support in R or Python, for data manipulation, analysis, and reporting across clinical trials and RWE studies.
- Potentially helping lead a Statistical Programming team to create, validate, and generate statistical programs for listings, tables, figures, and SDTM/ADaM domains, including mapping specifications (low to moderate complexity).
- Ensuring accurate, complete, and high-quality outputs in compliance with documented procedures and project timelines.
- Collaborating with biostatisticians and cross-functional teams to translate study requirements into precise statistical analyses.
- Reviewing statistical analysis plans (SAPs), programming specifications, and derived datasets, including SDTM and ADaM structures, to meet regulatory standards.
- Ensuring data integrity through adherence to ICH/GCP guidelines throughout the programming process.
- Mentoring junior programmers and assisting in training team members on programming techniques, best practices, and regulatory expectations.
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Requirements
Education
- Bachelor’s degree in statistics, mathematics, computer science, or a related field (advanced degree is a plus).
Experience & Skills
- 3+ years of experience as a statistical programmer in the clinical research industry, with expertise in statistical methodologies and SAS programming.
- Proven ability to work with SDTM/ADaM datasets and best practices.
- Experience with real-world evidence (RWE) studies is highly desirable.
- Proficiency in SAS, R, or Python, with familiarity with clinical data management systems.
- Strong analytical thinking, problem-solving, and attention to detail.
- Ability to work independently, deliver on timelines, and manage multiple projects.
Communication
- Excellent abilities to communicate complex statistical concepts to non-technical stakeholders and collaborate effectively with team members.
Additional Considerations
- Experience working in regulatory or biotechnology markets is advantageous.
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Benefits & Rewards
ICON offers a competitive total rewards package, supporting health, wellbeing, and career growth, including:
✅ Competitive base salary and performance-based incentives ✅ Comprehensive health and wellbeing benefits (medical, dental, vision, and mental health support) ✅ Retirement and pension plans ✅ Life assurance, disability coverage, and employee assistance programs ✅ Learning and development opportunities via structured training and career pathways ✅ Flexible working arrangements (where applicable) ✅ Global health insurance plans
Benefits vary by role and location.
** Employer Commitments**
Inclusion & Accessibility
ICON is an equal opportunity employer advocating for an inclusive workplace. Visitors requiring reasonable accommodations during the recruitment process should contact support channels.
Join Our Mission
ICON is an award-winning organisation dedicated to advancing global healthcare. By joining, you contribute to the development of new medicines and medical devices that improve patient outcomes worldwide, while boosting a positive work culture and sustainable practices.
Current ICON employees? Apply through your internal system.
Can’t find your ideal role? Join ICON’s Talent Community to receive notifications on upcoming opportunities. Register today.
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