Biotech and mid-sized pharmaceutical companies are increasingly looking to modernize their statistical computing environments (SCEs) to keep pace with growing data complexity, advanced analytics, and regulatory expectations. While open-source languages such as R offer clear advantages in flexibility, innovation and opportunities, their adoption in GxP-compliant environments introduces significant operational and validation challenges.   

In this webinar, our experts will share practical experience addressing these challenges, helping sponsor teams make effective use of R while adapting to different levels of SCE maturity, without adding unnecessary complexity. 

Key Topics

• Understanding the real barrier: GxP complexity, not technology 
• Different SCE maturity levels across biotech and mid-sized pharma  
• Polyglot statistical computing environment instead of “R replacing SAS”  
• Evolution of operational procedures 
• Governance and validation of open-source packages  
• Create and share internal packages 
• Reproducibility and traceability using R 

Register today to explore practical approaches for working with validated, scalable, and reproducible R ecosystems in GxP-compliant settings. 

Speakers

Sebastià Barceló, Associate Director, Statistical Programming 

Malte Stein, Principal Full Stack Developer 

Nicolas Rouille, Senior Director, Statistical Programming