Modernizing Data Science Workflows: Lessons from GSK's GitHub Journey

GSK shares how its biostatistics team modernized clinical trial reporting by moving from waterfall to agile workflows, adopting GitHub and Domino for statistical computing, and building a culture of collaboration and audit-ready traceability. This session highlights the technical, regulatory, and human aspects of scaling modern data science in a regulated environment.

Key Takeaways:

1. Agile adoption enables faster, more flexible trial reporting by replacing rigid waterfall processes with iterative delivery using Scrum and Jira.
2. Integrated platforms like GitHub and Domino support version control, analysis, and compliance in a traceable, audit-friendly way that aligns with regulatory needs.
3. Organizational change is just as critical as technology and requires thoughtful enablement, cultural shifts, and hands-on support to empower large teams of statisticians.