Senior Biostatistician – R/Shiny Analytics Lead

Syneos Health, Inc.; United Kingdom; Remote; GBP 90,000 - 120,000; Full time

Job summary

Syneos Health, Inc. in Europe seeks a Principal Biostatistician to leverage interactive R/Shiny apps to explore, analyze, and communicate insights from clinical trial data.

This role blends clinical trial expertise with modern R programming to support exploratory analyses and drive improvements to the DIG platform. You will collaborate with clinicians, statisticians, and developers to prepare datasets, create visualizations, and translate complex results into clear visuals for study teams and

Qualifications

• Experience using R for statistical analysis and data visualization, including Shiny apps.
• MS or PhD in Biostatistics, Statistics, Mathematics, Data Science, or related quantitative field with clinical development experience.
• Strong understanding of clinical trial design and data standards.

Responsibilities

• Perform exploratory analyses of clinical trial data using interactive R/Shiny applications.
• Prepare and quality-check clinical datasets for downstream analyses.
• Identify trends and safety/efficacy patterns via interactive visualizations and discussions.
• Lead data review sessions and communicate findings to study teams.
• Develop reproducible analytical workflows and contribute to improving the DIG platform.

Skills

R programming

Shiny

Data visualization

Clinical trial design

Communication

Team collaboration

DSO environment

Education

MS in Biostatistics

PhD in Biostatistics

Tools

R

Shiny

ggplot2

dplyr

tidyr

plotly

Quarto

Job description

Syneos Health, Inc. in Europe seeks a Principal Biostatistician to leverage interactive R/Shiny apps to explore, analyze, and communicate insights from clinical trial data.

This role blends clinical trial expertise with modern R programming to support exploratory analyses and drive improvements to the DIG platform. You will collaborate with clinicians, statisticians, and developers to prepare datasets, create visualizations, and translate complex results into clear visuals for study teams and