Principal Biostatistician, Senior Biostatistician – R/Rshiny

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Conduct exploratory analyses of clinical trial data utilizing interactive R/Shiny applications.

• Prepare, integrate, and conduct quality checks on clinical datasets for further exploratory analyses.

• Detect trends, safety signals, efficacy patterns, subgroup variations, and data quality concerns via interactive visualizations.

• Facilitate data review sessions and exploratory analysis meetings using interactive visual tools.

• Convert intricate statistical findings into clear visual narratives that assist in clinical decision-making.

• Collaborate with clinicians, statisticians, programmers, and R application developers to establish analytical requirements and prioritize application features.

• Create reproducible analytical workflows and reports utilizing contemporary R tools.

• Contribute enhancements, bug reports, and feature requests to enhance the application ecosystem.

• Provide training and support to users of internally developed analytical applications.

• Remain updated on emerging analytical methodologies and visualization techniques within the R ecosystem.

⛳️ Requirements

• Professional experience as a Biostatistician using R.

• Prior experience with R for statistical analysis and data visualization, including familiarity with Shiny applications.

• MS or PhD in Biostatistics, Statistics, Mathematics, Data Science, or a related quantitative field.

• Experience supporting clinical development in the pharmaceutical, biotechnology, or CRO sectors.

• Strong grasp of clinical trial design, statistical methodologies, and clinical data standards.

• Excellent communication and presentation abilities, with the capacity to clarify complex statistical concepts to diverse audiences.

• Strong collaboration and stakeholder management skills.

• Ability to excel in a Dynamic Shared Ownership (DSO) environment.

• Proficiency in English.

• Residency in Europe.

• Strong comprehension of SDTM and ADaM datasets.

• Experience in conducting exploratory analyses of efficacy and safety datasets.

• Knowledge of statistical methodologies applied throughout clinical development.

• Experience in interpreting and conveying statistical findings.

• Advanced skills in R programming.

• Competence in data manipulation and transformation.

• Reproducible analytical workflows expertise.

• Familiarity with packages such as shiny, plotly, ggplot2, dplyr, tidyr, purr, gt, gtsummary, reactable.

• Experience in creating and presenting interactive visualizations using Shiny, Plotly, ggplot2, and/or other visualization tools.

• Ability to effectively communicate clinical findings via interactive graphics and dashboards.

• Experience with Quarto or RMarkdown.

• Proficient in Git and GitHub.

• Reproducible reporting skills.

• Quality control experience with analytical datasets.

• Collaborative analytical workflows experience.

• RShiny expertise 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, scientific presentations, and software development workflows.

• Equivalent experience, skills, and/or education will also be taken into consideration.

🏝️ Benefits

• Opportunities for career development and progression.

• Supportive and engaged line management.

• Technical and therapeutic area training.

• Peer recognition.

• Comprehensive rewards program.

• Inclusive workplace culture.

• Reasonable accommodations, when appropriate, for employees or applicants with disabilities.