Johnson & Johnson's Open Source Journey with R in Clinical Trials
Learn how Johnson & Johnson embraces R and open-source tooling in clinical trials.
Abstract:
Embracing open source has been a transformative journey for J&J, fueled by a commitment to collaboration, transparency, and innovation. Our R journey began with a mindset shift—transitioning from decades-old solutions to actively contributing to and harnessing the power of open-source communities. We navigated the challenges of cultural adaptation while cultivating a programmer-friendly environment that promotes sharing and continuous learning.
We enhanced our technical capabilities by open-sourcing key projects focused on R and strengthened our ecosystem and industry partnerships. This webinar reflects on our experiences, lessons learned, and the strategic impact of embracing R.
Speakers: Sumesh Kalappurakal, Tadeusz Lewandowski, Nicholas Masel, and Mark Bynens.
Learn more about Posit's work in Pharma: https://posit.co/use-cases/pharma/
RStudio
Data Science
Python
Stats
Tidyverse
Data Visualization
Data Viz
Ggplot
Technology
Coding
Connect
Server Pro
Shiny
Rmarkdown
Package Manager
CRAN
Interoperability
Serious Data Science
Readr
Tidyr
Github
Data Wrangling
Tidy Data
Odbc
Gt
Tidymodels
Statistics
Debugging
Programming Education
Rstats
Open Source
Oss
Reticulate
Pharma Clinical Trials
Clinical Trials
Statistical Programming
Pharmaverse
Johnson & Johnson
Posit
Posit Data Science
Pharma Data Science
