# Senior Statistical Analyst

**Company**: ICON
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://icon.wd3.myworkdayjobs.com/en-US/broadbean_external/job/UK-Reading/Senior-Statistical-Analyst_JR158816?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0155a4ca-d41

## 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

## Skills

### Required
- SAS
- Statistics
- Biostatistics
- Epidemiology
- Mathematics
- Data Science
- Public Health

### Nice to have
- R
- Programming languages

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