Posit PBC
39 Case Studies
A Posit PBC Case Study
Janssen, a top 10 global pharmaceutical company, faced a significant "fragmentation tax" that slowed its research and data science community. Its R, Python, and SAS users were siloed in different tools, which hindered collaboration. This challenge intensified with the adoption of new AI tools, which forced R users into constant context switching between VS Code and RStudio, disrupting their workflow.
The solution was implemented by Posit with its product, Positron. Janssen established a two-track infrastructure using Positron to unify its researchers in a single, multilingual environment that also supports VS Code extensions. This streamlined, AI-assisted pipeline allowed the company to generate clinical trial data significantly faster. The results included a meaningful acceleration of clinical insight, a reduction in platform footprint, and direct cost savings.