Clinical Data Scientist

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. *

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. *

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. *

• 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. *

Employment with ICON is contingent upon having the legal right to work in the country where the role is based.

Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.

Benefits may include:

• 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

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.