End-to-End Submissions in R with the Pharmaverse

Workshop@posit::conf(2025)


🗓️ September 16, 2025 09:00 - 17:00

🏨 Hyatt Regency Atlanta, Room TBA

📝 Workshop Registration


Description

Over the past 5 years, the pharmaverse was created and has blossomed into a booming community of organizations and package developers aimed at supporting R development with focus on the clinical reporting pipeline. Even within a world as standardized as regulatory submissions, organizations still tend to have sometimes vastly different requirements within their own processes.

In this workshop, we’ll give a high level overview of the scope and tools available within the pharmaverse for the clinical pipeline, including tools for ADaM data set curation, creating Analysis Results Data Sets, and TLGs. To help attendees understand how there are different paradigms and pathways through the pharmaverse, we’ll take a tour through two to three different strategies available to support table, listing, and figure creation. Attendees of this workshop will walk away with an understanding of how the pharmaverse can help their organization and where they can look to learn more about the right tools to support their needs.

Schedule

Pre-work

Instructors

Headshot of Daniel Sjoberg

Daniel D. Sjoberg (he/him) is a Senior Principal Data Scientist at Genentech. Previously, he was a Lead Data Science Manager at the Prostate Cancer Clinical Trials Consortium, and a Senior Biostatistician at Memorial Sloan Kettering Cancer Center in New York City. He enjoys R package development, creating many packages available on CRAN, R-Universe, and GitHub. He’s a co-organizer of rainbowR (a community that supports, promotes and connects LGBTQ+ people who code in the R language) and of the R Medicine Conference. His research interests include adaptive methods in clinical trials, precision medicine, and predictive modeling. Daniel is the winner of the 2021 American Statistical Association (ASA) Innovation in Statistical Programming and Analytics award.

Headshot of Becca Krouse

Becca Krouse is a data scientist in GSK’s Statistics and Data Science Innovation Hub. A biostatistician by training, she has experience spanning 13+ years in the field of clinical research and specializes in developing R-based tools.