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

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

Competitive salary and benefits package
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

Clinical Data Scientist

Key skills