Description
ICON is seeking a Senior Statistical Analyst to join its Real World Evidence (RWE) team. The successful candidate will work on observational research studies, real-world data analyses, health outcomes research, and epidemiology projects.
Responsibilities:
- 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.
- 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.
Requirements:
- 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.
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