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Principal Biostatistician, Senior Biostatistician – R/Rshiny
Syneos Health. Perform exploratory analyses of clinical trial data using interactive R/Shiny applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Biostatistics and advanced R programming, with a strong focus on exploratory analyses and data visualization in clinical trial settings. Proficient in developing reproducible analytical workflows and effectively communicating complex statistical findings to diverse stakeholders.
Highest-signal resume keywords
Advanced R ProgrammingExploratory Data AnalysisClinical Trial DesignData Visualization Using ShinyStatistical Methodology
ATS Keywords
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Hard Skills
BiostatisticsStatistical AnalysisData ManipulationReproducible Analytical WorkflowsQuality Control of Analytical DatasetsExploratory Analyses of Efficacy and Safety DataStatistical Findings InterpretationInteractive VisualizationR Package DevelopmentMachine Learning Methods
Soft Skills
Excellent Communication SkillsCollaborationStakeholder ManagementPresentation SkillsAbility to Thrive in Dynamic Environments
Tools & Technologies
RShinyPlotlyGgplot2DplyrTidyrPurrGtGtsummaryQuarto
Certifications & Qualifications
MS or PhD in BiostatisticsStatisticsMathematicsData Science
Industry Keywords
Clinical DevelopmentPharmaceutical IndustryBiotechnologyCRO IndustrySDTMADaMDynamic Shared OwnershipUser TrainingScientific PresentationsCollaborative Analytical Workflows
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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