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.

We are currently seeking a Senior Statistical Analyst to join our Real World Evidence (RWE) team. This position offers an exciting opportunity to work on observational research studies, real-world data analyses, health outcomes research, and epidemiology projects that help generate evidence to support healthcare decision-making.

As a Senior Statistical Analyst, you will play a key role throughout the project lifecycle, from study design and statistical planning through to analysis, reporting, publication and client interaction. The role requires strong technical expertise in SAS programming, statistical methodology, and the interpretation of complex healthcare datasets.

What You Will Be Doing

• Support study conception, design, and protocol development for real-world evidence and observational research projects.
• Contribute to study start-up activities, including review and development of protocols, case report forms, and statistical methodologies.
• Write statistical methods sections of study protocols and develop statistical analysis plans.
• Perform sample size and power calculations.
• Review database specifications and participate in data review activities.
• Develop table, listing and figure shells and programming specifications.
• Lead the review and validation of raw and derived variables.
• Create and maintain derived datasets using SAS programming.
• Conduct statistical analyses using appropriate methodologies, including advanced and specialized statistical techniques such as longitudinal analyses, repeated measures, survival analyses, and other complex modelling approaches.
• Develop and validate SAS programs, macros, tables, listings, figures, and project deliverables.
• Lead quality control activities throughout programming and analysis processes.
• Manage and review internal and external data transfers.
• Produce project reports, statistical outputs, visualizations, tables and graphs for client delivery.
• Contribute to manuscripts, abstracts, conference presentations and peer-reviewed publications.
• Write methods and results sections for final reports and scientific publications.
• Communicate directly with clients, investigators and cross-functional teams regarding project deliverables and statistical requirements.
• Represent Statistical Analysis in proposal development and RFP activities.
• Participate in department initiatives, process improvements, SOP development and training activities.
• Deliver internal technical presentations and contribute to knowledge sharing within the team.
• Attend departmental meetings and support broader Real World Evidence research activities.

Your Profile

To be successful in this role, you will possess a strong statistical and programming background, together with experience working with healthcare, clinical, observational or real-world data.

Required Qualifications and Experience:

• Master's degree or PhD in Statistics, Biostatistics, Epidemiology, Mathematics, Data Science, Public Health, or a related quantitative discipline.
• Significant experience within the pharmaceutical, biotechnology, CRO, healthcare research, or Real World Evidence environment.
• Advanced SAS programming experience is essential, including development of datasets, statistical analyses, macros, tables, listings and figures.
• Strong understanding of statistical methodologies and their practical application to healthcare and observational data.
• Experience developing Statistical Analysis Plans (SAPs) and analysis specifications.
• Knowledge of observational study design, epidemiology, health outcomes research, registries, claims databases, electronic health records, or other real-world data sources is highly desirable.
• Experience applying statistical techniques such as regression modelling, survival analysis, repeated measures analysis and other advanced methods.
• Ability to independently manage statistical deliverables while collaborating effectively within multidisciplinary teams.
• Strong written and verbal communication skills with the ability to explain complex statistical concepts to both technical and non-technical audiences.
• Preferred Experience:
• Experience within a Real World Evidence, Health Economics & Outcomes Research (HEOR), Epidemiology, or Data Analytics team.
• Experience authoring publications, abstracts, or conference presentations.
• Proficiency in additional programming languages such as R is advantageous.

Why Join the Real World Evidence Team?
You will be part of a collaborative team delivering high-impact research that helps shape healthcare decisions and improve patient outcomes globally. This role provides the opportunity to work on diverse, scientifically rigorous projects while developing deep expertise in real-world data, advanced analytics and evidence generation.

Please note: Strong SAS programming experience is a core requirement for this position and will be a key focus throughout the selection process.

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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