Senior Statistical Programmer

As a Senior Statistical Programmer at ICON, you will develop and validate R programs for statistical analysis of clinical trial data, and lead programming teams to produce CDISC-compliant outputs. You will collaborate with biostatisticians to define analysis plans, ensure regulatory compliance, and drive process improvements through automated R workflows. This role combines leadership, technical execution, and a focus on high-quality statistical reporting for regulatory submissions. You will contribute to the broader mission of accelerating access to new medicines by delivering robust analytical solutions.

• Competitive base salary
• Performance-related incentives
• Health, dental, and vision coverage
• Retirement and pension plans
• Life assurance and disability coverage
• Learning and development opportunities

• Develop and validate R programs for statistical analysis and reporting of clinical trial data
• Lead multiple Statistical Programming teams to create, validate, and generate outputs including listings, tables, figures, and CDISC SDTM/ADaM datasets (mapping specs)
• Collaborate with biostatisticians to define analysis plans and methods
• Perform quality control and validation of outputs to ensure accuracy and regulatory compliance
• Assist in preparing statistical reports, presentations, and publications for regulatory submissions and study reporting
• Drive process improvements through automation and enhanced R-based analytical workflows
• Support development, maintenance, and enhancement of standardized R tools, macros, and reporting solutions across studies

• Experience in statistical programming within a clinical research, biotechnology, or pharmaceutical environment
• Strong proficiency in R programming and development/validation of clinical trial datasets, analyses, and reporting outputs
• Good understanding of CDISC SDTM and ADaM and their application in clinical trials
• Familiarity with regulatory requirements and industry guidance related to statistical programming and clinical data reporting
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Life Sciences, or related quantitative field
• Excellent analytical and problem-solving skills with attention to detail
• Strong communication skills and ability to work collaboratively in a team

• communication
• collaboration
• attention to detail
• R programming
• CDISC SDTM/ADaM
• regulatory knowledge for clinical data reporting