Clinical Data Scientist

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Logo of ICON plc

ICON plc

10,000+ employees

Founded 1990

💊 Pharmaceuticals

🧬 Biotechnology

⚕️ Healthcare Insurance

Pharmaceuticals • Biotechnology • Healthcare Insurance

ICON plc is a global provider of clinical, consulting, and commercial services across various sectors in the healthcare and pharmaceutical industries. They offer a wide range of clinical solutions, including decentralised clinical trials, cardiac safety solutions, early clinical laboratories, and medical imaging. ICON also provides technology solutions that support drug development from early phases to post-marketing. Their therapeutic expertise spans cardiovascular, oncology, internal medicine, and more, with a strong focus on transformative therapies like cell and gene therapies and biosimilars. ICON is recognized as a leading Contract Research Organisation (CRO), regularly providing thought leadership and contributing to industry publications and events. Their services are tailored to optimize clinical trials, offer regulatory intelligence, and deliver real-world evidence through robust data analysis and patient-centric solutions.

📋 Description

• 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

🎯 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

🏖️ Benefits

• 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

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