Clinical Data Scientist

Job not on LinkedIn

🔥 3 minutes ago

🌐 United Kingdom, France, +6 more countries – Remote

🇬🇧 United Kingdom – Remote 🇫🇷 France – Remote 🇪🇸 Spain – Remote 🇳🇱 Netherlands – Remote 🇷🇴 Romania – Remote 🇩🇪 Germany – Remote 🇵🇱 Poland – Remote 🇿🇦 South Africa – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ICON plc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1990

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

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 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 • Collaborate with statisticians, data managers, clinical programmers, and project leads to design, develop, and maintain R-based solutions supporting study monitoring, data review, and analytical insight generation

🎯 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 • 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 • Legal right to work in the country where the role is based

🏖️ Benefits

• Competitive salary and benefits package • Career development and access to modern tools and training • 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