Senior Statistical Analyst - RWE - SAS programming

Senior 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 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.

Job Advert Posting

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

What You Will Do:

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.

Required qualifications and experience

• 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.

Preferred qualifications and experience

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

Employment with ICON is contingent upon having the legal right to work in the country where the role is based.

Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.

Benefits may include:

• 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.

Visit our careers site to read more about the benefits ICON offers.

Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.

If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.

Are you a current ICON Employee? Please click here to apply

About Us

ICON is an award-winning workplace that enables you to make a difference to patients’ lives by being part of a world-class clinical research organisation that helps deliver new medicines & medical devices that are benefitting patients worldwide. You are also part of a diverse company that cares about our world and is dedicated to conducting business more sustainably and supporting the communities in which we live.

If you’re as driven as we are, join us. You’ll be working in a great environment, with some of the brightest and the friendliest people in the sector, and you’ll be helping shape an industry.