R/Pharma 2025 Conference Materials

Comprehensive collection from workshops, presentations, and key insights

R/Pharma 2025

Comprehensive Conference Materials Repository

Your guide to the cutting-edge of R in pharmaceutical research and development

📊 Conference at a Glance

Workshops

EU/US Sessions

30+

Presentations

Nov 2025

Event Date

🔥 Top Highlights

🤖 AI Revolution

8+ sessions focused on LLM integration with R, including practical implementations with {ellmer}, {shinychat}, and enterprise AI solutions.

📊 Open Source Momentum

GSK’s journey to 50%+ R code, industry-wide shift from SAS to open-source tools, and collaborative development through pharmaverse.

✅ Regulatory Acceptance

Multiple talks on validation in GxP contexts, FDA guidance implementation, and production-ready AI applications in clinical trials.

💡 Key Insights & Analysis

📈 Trends & Analysis

Comprehensive analysis of emerging trends, including:

The AI/LLM revolution in pharma R programming
Open-source adoption patterns and success stories
Regulatory landscape evolution
Future directions for R in clinical development

Read full analysis →

🛠️ Tools Catalog

Complete A-Z reference of packages and tools mentioned across workshops and presentations:

Most mentioned: {gtsummary}, {ellmer}, {teal}, {officer}, {flextable}
Emerging stars: {cards}, {crane}, {admiral}, {polars}
AI ecosystem: {ellmer}, {shinychat}, {ragnar}, {mcpr}

Browse complete catalog →

💼 Career Insights

Practical guidance for R professionals in pharma:

Skills in high demand
Transitioning from SAS to R
Building validation expertise
Contributing to open source

View career guidance →

🌟 Featured Workshops

Getting Started with LLM APIs in R

Sara Altman (Posit PBC)

Learn to integrate LLMs into R workflows using {ellmer}. Build chatbots, implement tool calling, and design effective system prompts.

Beginner Friendly AI/LLM

Advanced Clinical Reporting with officer and flextable

David Gohel (Ardata)

Master sophisticated clinical reports in Word format using R. From complex tables to complete pharmaceutical report generation.

Intermediate Clinical Reporting

Introduction to Building (Better) R Packages

Nicola Rennie (Data Viz Specialist)

Transform scripts into packages. Learn documentation, testing, and best practices. By the end, you’ll have created your own R package!

Beginner Friendly Development

From Data to Insights: Hands-On with {teal}

Nina Qi & Dony Unardi (Genentech)

Build interactive clinical trial data exploration apps with the {teal} framework. Based on the latest 1.0 release.

Intermediate Shiny/Apps

📌 About This Repository

This repository provides comprehensive documentation of the R/Pharma 2025 conference, including:

Detailed workshop descriptions with prerequisites and learning objectives
Presentation summaries and key takeaways
Trend analysis and industry insights
Complete catalog of tools and packages
Career guidance for R professionals in pharma

All materials are organized for easy navigation and reference, suitable for:

🎓 Attendees reviewing conference materials
🔍 Researchers exploring R solutions for pharma workflows
💼 Hiring managers assessing industry trends and skills
🚀 Developers discovering new tools and best practices

Contributing & Feedback

This is a living repository. If you notice errors or have suggestions for improvements, please feel free to open an issue or submit a pull request on GitHub.

Compiled and curated by Szymon Myrta | Last updated: November 2025

--- title: "R/Pharma 2025 Conference Materials" subtitle: "Comprehensive collection from workshops, presentations, and key insights" page-layout: full toc: false --- ::: hero # R/Pharma 2025 **Comprehensive Conference Materials Repository** Your guide to the cutting-edge of R in pharmaceutical research and development ::: ## 📊 Conference at a Glance ::::::: {layout-ncol="4"} ::: stats-box **19** Workshops ::: ::: stats-box **8** EU/US Sessions ::: ::: stats-box **30+** Presentations ::: ::: stats-box **Nov 2025** Event Date ::: ::::::: ## 🔥 Top Highlights :::::: columns ::: {.column width="30%"} ### 🤖 AI Revolution 8+ sessions focused on LLM integration with R, including practical implementations with `{ellmer}`, `{shinychat}`, and enterprise AI solutions. ::: ::: {.column width="30%"} ### 📊 Open Source Momentum GSK's journey to 50%+ R code, industry-wide shift from SAS to open-source tools, and collaborative development through pharmaverse. ::: ::: {.column width="30%"} ### ✅ Regulatory Acceptance Multiple talks on validation in GxP contexts, FDA guidance implementation, and production-ready AI applications in clinical trials. ::: :::::: ## 🎯 Quick Navigation ::::: columns ::: {.column width="48%"} ### [📚 Workshops](workshops/index.qmd) {.workshop-card} **19 hands-on sessions** covering: - 🤖 **AI & LLM Integration** (3 workshops) - 📊 **Clinical Reporting** (5 workshops) - 🔧 **Package Development** (3 workshops) - 📈 **Statistical Methods** (4 workshops) - 🧬 **Specialized Applications** (4 workshops) [Browse all workshops →](workshops/index.qmd) ::: ::: {.column width="48%"} ### [🎤 Presentations](presentations/index.qmd) {.presentation-card} **30+ talks** organized in: - 8 Europe/US thematic sessions - 13 Asia/Pacific presentations - Topics from AI agents to clinical study reporting [Explore presentations →](presentations/index.qmd) ::: ::::: ## 💡 Key Insights & Analysis ::: workshop-card ### [📈 Trends & Analysis](summary/trends-insights.qmd) Comprehensive analysis of emerging trends, including: - The AI/LLM revolution in pharma R programming - Open-source adoption patterns and success stories - Regulatory landscape evolution - Future directions for R in clinical development [Read full analysis →](summary/trends-insights.qmd) ::: ::: workshop-card ### [🛠️ Tools Catalog](summary/tools-catalog.qmd) Complete A-Z reference of packages and tools mentioned across workshops and presentations: - **Most mentioned:** `{gtsummary}`, `{ellmer}`, `{teal}`, `{officer}`, `{flextable}` - **Emerging stars:** `{cards}`, `{crane}`, `{admiral}`, `{polars}` - **AI ecosystem:** `{ellmer}`, `{shinychat}`, `{ragnar}`, `{mcpr}` [Browse complete catalog →](summary/tools-catalog.qmd) ::: ::: workshop-card ### [💼 Career Insights](summary/career-insights.qmd) Practical guidance for R professionals in pharma: - Skills in high demand - Transitioning from SAS to R - Building validation expertise - Contributing to open source [View career guidance →](summary/career-insights.qmd) ::: ## 🌟 Featured Workshops ::::: columns ::: {.column width="48%"} ### [Getting Started with LLM APIs in R](workshops/ai-llm/getting-started-llm-apis.qmd) **Sara Altman** (Posit PBC) Learn to integrate LLMs into R workflows using `{ellmer}`. Build chatbots, implement tool calling, and design effective system prompts. [Beginner Friendly]{.badge .badge-beginner} [AI/LLM]{.badge .badge-category} ::: ::: {.column width="48%"} ### [Advanced Clinical Reporting with officer and flextable](workshops/clinical-reporting/officer-flextable.qmd) **David Gohel** (Ardata) Master sophisticated clinical reports in Word format using R. From complex tables to complete pharmaceutical report generation. [Intermediate]{.badge .badge-intermediate} [Clinical Reporting]{.badge .badge-category} ::: ::::: ::::: columns ::: {.column width="48%"} ### [Introduction to Building (Better) R Packages](workshops/development-validation/building-r-packages.qmd) **Nicola Rennie** (Data Viz Specialist) Transform scripts into packages. Learn documentation, testing, and best practices. By the end, you'll have created your own R package! [Beginner Friendly]{.badge .badge-beginner} [Development]{.badge .badge-category} ::: ::: {.column width="48%"} ### [From Data to Insights: Hands-On with {teal}](workshops/specialized/teal-framework.qmd) **Nina Qi & Dony Unardi** (Genentech) Build interactive clinical trial data exploration apps with the `{teal}` framework. Based on the latest 1.0 release. [Intermediate]{.badge .badge-intermediate} [Shiny/Apps]{.badge .badge-category} ::: ::::: ## 📌 About This Repository This repository provides comprehensive documentation of the R/Pharma 2025 conference, including: - Detailed workshop descriptions with prerequisites and learning objectives - Presentation summaries and key takeaways - Trend analysis and industry insights - Complete catalog of tools and packages - Career guidance for R professionals in pharma All materials are organized for easy navigation and reference, suitable for: - 🎓 **Attendees** reviewing conference materials - 🔍 **Researchers** exploring R solutions for pharma workflows - 💼 **Hiring managers** assessing industry trends and skills - 🚀 **Developers** discovering new tools and best practices ------------------------------------------------------------------------ ::: callout-tip ## Contributing & Feedback This is a living repository. If you notice errors or have suggestions for improvements, please feel free to open an issue or submit a pull request on [GitHub](https://github.com/ACTN3Bioinformatics/R-Pharma-2025-Workshops). ::: ------------------------------------------------------------------------ *Compiled and curated by [Szymon Myrta](https://www.linkedin.com/in/myrta/) \| Last updated: November 2025*