Principal Biostatistician/ Sr Biostatistician (R/Rshiny - EMEA BASED)

We are seeking a Principal Biostatistician/Sr Biostatistician to leverage interactive R applications to explore, analyze, and communicate insights from clinical trial data.

The successful candidate will work closely with statisticians, clinicians, and R application developers to identify meaningful analytical questions, prepare clinical datasets, generate interactive visualizations, and drive improvements to the DIG analytical platform.

Key Responsibilities:

• Perform exploratory analyses of clinical trial data using interactive R/Shiny applications.
• Prepare, integrate, and quality-check clinical datasets for downstream exploratory analyses.
• Identify trends, safety signals, efficacy patterns, subgroup differences, and data quality issues through interactive visualization.
• Lead data review sessions and exploratory analysis meetings using interactive visualizations to communicate findings and facilitate scientific discussions.
• Translate complex statistical results into clear visual narratives that support clinical decision making.
• Collaborate with clinicians, statisticians, programmers, and R application developers to define analytical requirements and prioritize new application features.
• Develop reproducible analytical workflows and reports using modern R tools.
• Contribute enhancements, bug reports, and feature requests to continuously improve the application ecosystem.
• Train and support users of internally developed analytical applications.
• Stay current with emerging analytical methodologies and visualization techniques within the R ecosystem.

Minimum Qualifications:

• Previous experience using R for statistical analysis and data visualization, including experience with Shiny applications.
• MS or PhD in Biostatistics, Statistics, Mathematics, Data Science, or a related quantitative discipline, with experience supporting clinical development within the pharmaceutical, biotechnology, or CRO industry.
• Strong understanding of clinical trial design, statistical methodology, and clinical data standards.
• Excellent communication and presentation skills, with the ability to explain complex statistical concepts to multidisciplinary audiences.
• Strong collaboration and stakeholder management skills.
• Ability to thrive in a Dynamic Shared Ownership (DSO) environment.
• Fluency in English.

Technical Skills:

• Strong understanding of SDTM and ADaM datasets.
• Experience conducting exploratory analyses of efficacy and safety data.
• Knowledge of statistical methodology used throughout clinical development.
• Experience interpreting and communicating statistical findings.
• Demonstrated experience with advanced R programming, data manipulation and transformation, reproducible analytical workflows, and experience with packages such as shiny, plotly, ggplot2, dplyr, tidyr, purr, gt, gtsummary, reactable.
• Experience creating and presenting interactive visualizations using shiny, plotly, ggplot2, and/or other visualization packages.
• Ability to effectively communicate clinical findings through interactive graphics and dashboards.
• Experience with Quarto or RMarkdown, Git and GitHub, reproducible reporting, quality control of analytical datasets, and collaborative analytical workflows.