Principal Biostatistician, Senior Biostatistician – R/Rshiny
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Job Description
Biostatistician using R/Shiny to explore clinical trial data and create interactive visualizations. Supporting Syneos Health’s life sciences customers through reproducible analyses and clinical insights.
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
- Translate complex statistical results into clear visual narratives supporting clinical decision-making
- Collaborate with clinicians, statisticians, programmers, and R application developers to define analytical requirements and prioritize application features
- Develop reproducible analytical workflows and reports using modern R tools
- Contribute enhancements, bug reports, and feature requests to 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
Requirements:
- Industry experience as a Biostatistician using R
- 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
- 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
- Based in Europe
- 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
- Advanced R programming
- Data manipulation and transformation
- Reproducible analytical workflows
- 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
- Collaborative analytical workflows
- RShiny experience is an advantage
- Preferred: experience with Posit Connect, R package development, SQL, Arrow or DuckDB, AI-assisted analytical workflows, machine learning methods for exploratory analyses, clinical dashboards and interactive reporting, user training and scientific presentations, and software development workflows
- Equivalent experience, skills, and/or education will also be considered
Benefits:
- Career development and progression
- Supportive and engaged line management
- Technical and therapeutic area training
- Peer recognition
- Total rewards program
- Inclusive culture
- Reasonable accommodations, when appropriate, for employees or applicants with disabilities
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