Statistical Analyst

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 Statistical Analyst at ICON Plc, you will support clinical trial activities and collaborate with cross-functional teams to ensure the delivery of high-quality statistical analyses.

Responsibilities

• Support study start-up activities, providing valuable input on study design, protocols, and case report forms.
• Write statistical methods sections of study protocols, including sample size and power calculations, with oversight.
• Assist in the development of statistical analysis plans and create table shells.
• Review database specifications and lead the initial review of raw variables. Develop written specifications for derived variables from oral descriptions.
• Program basic and specialized statistical procedures, such as repeated measures and survival analysis, using SAS/Graph.
• Create complex macros for efficient group use.
• Develop deliverables, including project reports, graphs, and tables, with close oversight.

Your Profile

• 4+ years of statistical programming experience within the pharmaceutical, biotechnology, or CRO industry.
• Strong hands-on expertise in SAS programming, with experience supporting clinical trial deliverables and statistical analyses.
• Basic knowledge, training, or exposure to R programming, with a willingness to expand proficiency in a clinical research environment.
• Comprehensive understanding of CDISC standards, including SDTM and ADaM.
• Experience developing, validating, and maintaining production-quality programming code.
• Experience using Pinnacle 21 (P21) for CDISC compliance checks and data validation.
• Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively across cross-functional teams.

Rewards & 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