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# Clinical Data Scientist

- **Company:** ICON plc
- **Location:** Reading, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Application Performance Management, Clinical Data Repository, Information Engineering, Data Visualization, Software Debugging, R (Programming Language), Design of User Interfaces, Python (Programming Language), Performance Tuning, SAS (Software), Software Engineering, Cloud Platform System, Information Technology, Plotly
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ef36cc791b2d83d7

## About the Role

We are seeking a highly skilled Clinical Data Scientist/Senior Statistical Programmer with extensive experience in R Shiny application development and a strong background in clinical trial data standards. This role is ideal for someone who enjoys building user-centric analytical tools, transforming complex datasets into intuitive interactive dashboards, and driving high-quality statistical outputs in accordance with industry standards., * 5+ years of experience as a Statistical Programmer within the pharmaceutical/biotech/CRO industry.

 * Strong clinical data experience, including CDISC (SDTM & ADaM) and TLF production.
 * R Shiny experience, including: end-to-end app development, UI/UX design, dashboard visualizations (ggplot2/plotly), performance optimization and debugging. Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
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Desirable Skills

 * Experience with Python, SAS, or other analytical tools.
 * Familiarity with pharmacovigilance or safety review workflows.
 * Experience with Real World Evidence data.
 * Experience deploying R Shiny apps (Shiny Server, Posit Connect, etc.). Exposure to automation, data engineering, or cloud environments.
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## Description

You will collaborate closely with statisticians, data managers, clinical programmers, and project leads to design, develop, and maintain innovative R-based solutions that support study monitoring, data review, and analytical insight generation across clinical development programmes., * Design, build, and maintain R Shiny applications for clinical study monitoring, data visualization, safety review, and exploratory analysis.

 * Develop modular, scalable, and well-documented R code following best practices.
 * Create interactive dashboards, visualizations, and bespoke analytical tools for cross-functional teams.
 * Optimize Shiny app performance, security, and usability for deployment in regulated environments.

 * Ensure all deliverables comply with CDISC standards, regulatory guidance, and internal SOPs.

 * Act as a subject matter expert (SME) for R and R Shiny within the team.
 * Mentor junior programmers and contribute to knowledge-sharing initiatives.
 * Participate in study meetings, providing technical insights and programming expertise. Influence best practices, pipelines, and automation strategies for modernizing statistical workflows.
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