[Hiring] Senior Statistical Analyst @ICON plc

Role Description

As a Senior Statistical Analyst at ICON, you will develop and validate analysis datasets, tables, listings and figures.

You will take ownership of clinical research deliverables, applying your expertise to complex challenges. Key responsibilities include:

• Develop and validate analysis datasets, tables, listings and figures.
• Apply programming standards and specifications consistently.
• Perform quality control and resolve data or programming issues.
• Collaborate with biostatistics, data management and clinical stakeholders.
• Maintain traceable programming documentation and submission readiness.
• Provide technical guidance, peer review or mentoring on complex work within the discipline.

Qualifications

• Degree in statistics, mathematics, computer science or related quantitative discipline, or equivalent relevant programming expertise.
• Minimum of 5 years of experience in statistical analysis within the pharmaceutical, biotechnology, or CRO industry.
• Proficiency in statistical software SAS (R or Python are also used in a more limited capacity).
• Understanding of clinical trial design, statistical methodologies, and regulatory requirements.
• Practical statistical programming experience in clinical trials using SAS or another appropriate statistical programming environment.
• Knowledge of CDISC SDTM and ADaM standards.
• Understanding of clinical trial data, statistical outputs and validation practices.
• Experience developing and validating analysis datasets, tables, listings and figures.
• Experience reviewing colleagues’ work and providing technical guidance on clinical statistical programming.

Requirements

• Experience supporting regulatory submissions.
• SAS programming capability (R or Python are also used in a more limited capacity).
• Advanced CDISC or Define XML expertise.

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.
• Benefits may vary depending on role and location.