Description
As a Senior Clinical Data Scientist at ICON, you will analyse clinical trial data and support the statistical analysis process to ensure high-quality results.
In this role, you will have the opportunity to transform complex clinical and real-world data into intuitive applications and analytical solutions that help answer meaningful clinical questions and support evidence-based decision-making.
What You Will Do:
- Design and develop engaging R Shiny applications, dashboards and visualisations to support clinical study monitoring, data review, safety analysis and evidence generation.
- Use R and advanced statistical techniques to transform complex clinical and real-world datasets into meaningful and accessible insights.
- Build scalable, modular and well-documented solutions, while continuously improving performance, usability and user experience.
- Partner with cross-functional colleagues to ensure solutions follow relevant CDISC standards, regulatory requirements and internal quality standards.
- Share your expertise in R and R Shiny, contribute to best practices and automation initiatives, and support the development of colleagues across the team.
Your Profile:
- Around 5+ years of relevant experience in statistical programming, clinical data analysis, Real World Evidence/HTA, Medical Affairs or evidence generation, ideally within a pharmaceutical, biotech or CRO environment.
- Strong hands-on experience with R and R Shiny, including application development, interactive dashboards, visualisation and tools such as ggplot2 or Plotly.
- Good knowledge of the broader R ecosystem, which may include R packages, Git, CRAN, data wrangling and statistical methodologies.
- Experience working with clinical or healthcare data. Knowledge of CDISC standards such as SDTM and ADaM, TLFs, or Phase IIIb/IV clinical trials would be particularly valuable.
- A degree in Statistics, Mathematics, Computer Science, Life Sciences or a related discipline, or equivalent relevant experience. Knowledge of Python, SAS, cloud technologies, Posit Connect/Shiny Server or Real World Data is welcome but not essential.
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