Senior Statistical Analyst - Real World Evidence

About the role

ICON, a global healthcare intelligence and clinical research organisation, is looking for a Senior Statistical Analyst to join its Real World Evidence (RWE) team in Reading. The role covers observational research studies, real-world data analyses, health outcomes research and epidemiology projects, from study design and statistical planning through to analysis, reporting, publication and client interaction.

Key responsibilities

• Support study conception, design and protocol development, including protocols, case report forms and statistical methodologies
• Write statistical methods sections and develop statistical analysis plans
• Perform sample size and power calculations
• Review database specifications, develop table, listing and figure shells, and create and maintain derived datasets in SAS
• Lead review and validation of raw and derived variables, and lead quality control across programming and analysis
• Conduct analyses including longitudinal, repeated measures and survival analyses, and develop and validate SAS programs, macros and deliverables
• Manage and review internal and external data transfers, and produce reports, tables and graphs for clients
• Contribute to manuscripts, abstracts, conference presentations and publications, and write methods and results sections
• Communicate with clients, investigators and cross-functional teams, and represent Statistical Analysis in proposals and RFPs
• Take part in department initiatives, SOP development, training and technical presentations

Required profile

• Master's degree or PhD in Statistics, Biostatistics, Epidemiology, Mathematics, Data Science, Public Health or a related quantitative discipline
• Significant experience in pharmaceutical, biotechnology, CRO, healthcare research or Real World Evidence
• Strong statistical and programming background with healthcare, clinical, observational or real-world data
• Ability to manage statistical deliverables independently and communicate complex concepts to technical and non-technical audiences
• Legal right to work in the country where the role is based

Required skills

• Advanced SAS programming (datasets, analyses, macros, tables, listings and figures)
• Statistical analysis plans (SAPs) and analysis specifications
• Desirable: knowledge of observational study design, registries, claims databases and electronic health records
• Desirable: experience in RWE, HEOR or epidemiology, and publication or presentation experience
• Advantageous: proficiency in R

What we offer

• Competitive base salary and performance-related incentives
• Health, dental and vision coverage where applicable, retirement and pension plans, life assurance and disability coverage
• Employee assistance programmes and learning and development opportunities