The Need for Speed - AccelerateR-ing R Adoption in GSK
summary
GSK decides in 2020 to make R the primary language for clinical reporting across a 900+ person Biostatistics organization and finds classroom training (about 80% trained in early rounds) doesn’t stick. An accelerateR agile pod of R and data science experts instead embeds with study teams, runs a weeklong onboarding and short iterative sprints, bundles Git/GitHub and packages training, and turns study code into reusable libraries. A small core of 3 people on team plus embedded study contributors produces regulatory‑reviewed outputs and growing enterprise adoption.
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chapters (12)
- 0:00GSK R adoption introduction
- 1:57Biostats core functions transition
- 3:02Training challenges and failures
- 4:31Adoption barriers insights
- 6:19On-demand training and mentoring
- 7:23AccelerateR training steps
- 9:10Learning by doing principle
- 10:37Timing and learning curve challenges
- 12:22Successes and benefits
- 13:46Resilience through mentoring
- 14:49Summary
- 15:10Q&A
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