Description
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.