Lead Biostatistician, R/Shiny Analytics (Remote Europe)

Syneos Health, Inc.; Greater London; Híbrido; GBP 70.000 - 95.000; Jornada completa

Descripción de la vacante

Syneos Health is seeking a Principal Biostatistician who will leverage interactive R applications to explore, analyze, and communicate insights from clinical trial data. You will work with statisticians, clinicians, and R developers to identify questions, prepare datasets, and create interactive visualizations that support decision making.

You will contribute to the DIG analytical platform while staying current with advanced R techniques and reproducible workflows.

Formación

• MS or PhD in Biostatistics, Statistics, Mathematics, Data Science, or related quantitative field.
• Experience supporting clinical development within pharmaceutical/biotech/CRO industries.
• Excellent communication and presentation skills in multidisciplinary settings.
• Fluency in English; based in Europe.

Responsabilidades

• Perform exploratory analyses of clinical trial data using interactive R/Shiny applications.
• Prepare, integrate, and quality-check clinical datasets for exploratory analyses.
• Identify trends and safety/efficacy signals via interactive visualization.
• Lead data review sessions and communicate findings to study teams.
• Translate statistical results into clear visual narratives for clinical decisions.

Conocimientos

R programming

Shiny

Data visualization

Communication skills

Collaboration

DSO environment

Educación

MS or PhD in Biostatistics/Statistics/Math/Data Science

Herramientas

R

Shiny

Plotly

ggplot2

dplyr

Descripción del empleo

Syneos Health is seeking a Principal Biostatistician who will leverage interactive R applications to explore, analyze, and communicate insights from clinical trial data. You will work with statisticians, clinicians, and R developers to identify questions, prepare datasets, and create interactive visualizations that support decision making.

You will contribute to the DIG analytical platform while staying current with advanced R techniques and reproducible workflows.