Description
At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON's global expertise.
As the world's largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide.
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.
Key Responsibilities
- 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.
Essential Requirements
- 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.
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.
What We Offer
- Opportunity to lead innovation in R-based analytics.
- Collaborative and forward-thinking team environment.
- Competitive salary and benefits package.
- Career development and access to modern tools and training.
- Ability to influence strategy around R Shiny and data visualization initiatives.
Rewards & 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