Uploaded May 2025 | Updated September 2026, 2 weeks ago
#datascience #dataanalysis #technology #opensource #pharmaverse #pharma #clinicaltrials
In this episode, Ben Straub, Principal Programmer at GSK, explores the shift from proprietary software to open source tools in the pharmaceutical industry. He shares insights into regulatory challenges, the rise of R, and the impact of {admiral} and other open-source packages on clinical data analysis and submissions. From pilot programs to enterprise-wide adoption, learn why collaboration is key to reducing risk and shaping the future of regulatory workflows.
In this episode, you will learn:
- Lessons learned from GSK’s open source adoption journey,
- How collaboration via pharmaverse, PHUSE, and R Consortium accelerates regulatory submissions
- How {admiral} package for ADaM datasets was one of the triggers for widespread open source adoption in pharma
- Why R is a dominant language in pharma
- What are the next milestones to modernize outdated regulatory standards
Webinar about GSK's R Journey: From Pilot Projects to Enterprise Adoption: youtube.com/watch?v=xDrt6txplek
Admiral package: pharmaverse.github.io/admiral
Nat Chrzanowska
linkedin.com/in/nat-chrzanowska
__________________________________________
More about Appsilon: ► appsilon.com
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. Schedule a free consultation with our expert
► appsilon.com/contact-us
We design scalable and user-friendly Shiny dashboards to help you make data-driven decisions.
► appsilon.com/services/data-dashboards
We design and implement Statistical Computing Environment for R and Python for efficient data analysis:
► appsilon.com/services/sce
We design, implement, and optimise data analysis environments so you can focus focus on insights and innovation.
► appsilon.com/services/platform
Where Technology Meets Science podcast is available on all podcasting platforms:
► Spotify: open.spotify.com/show/6MckhYFZCwGU4Op6P09foR
► Apple Podcasts: apple.co/3CJDdVy
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
► appsilon.com/blog
LinkedIn: linkedin.com/company/appsilon
_________________________________________
00:00 – Introduction to the episode and our guest
2:25 – Why pharma is adopting open source
4:36 – Regulatory impact on open source
6:41 – Risks of using open source in pharma
10:37 – The role of the R language
15:16 – About the Admiral package
27:08 – The XPT file challenge
32:50 – An unsolved problem in the field
34:31 – Outro and closing remarks
#datascience #dataanalysis #technology #opensource #pharmaverse #pharma #clinicaltrials
In this episode, Ben Straub, Principal Programmer at GSK, explores the shift from proprietary software to open source tools in the pharmaceutical industry. He shares insights into regulatory challenges, the rise of R, and the impact of {admiral} and other open-source packages on clinical data analysis and submissions. From pilot programs to enterprise-wide adoption, learn why collaboration is key to reducing risk and shaping the future of regulatory workflows.
In this episode, you will learn:
- Lessons learned from GSK’s open source adoption journey,
- How collaboration via pharmaverse, PHUSE, and R Consortium accelerates regulatory submissions
- How {admiral} package for ADaM datasets was one of the triggers for widespread open source adoption in pharma
- Why R is a dominant language in pharma
- What are the next milestones to modernize outdated regulatory standards
Webinar about GSK's R Journey: From Pilot Projects to Enterprise Adoption: youtube.com/watch?v=xDrt6txplek
Admiral package: pharmaverse.github.io/admiral
Nat Chrzanowska
linkedin.com/in/nat-chrzanowska
__________________________________________
More about Appsilon: ► appsilon.com
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. Schedule a free consultation with our expert
► appsilon.com/contact-us
We design scalable and user-friendly Shiny dashboards to help you make data-driven decisions.
► appsilon.com/services/data-dashboards
We design and implement Statistical Computing Environment for R and Python for efficient data analysis:
► appsilon.com/services/sce
We design, implement, and optimise data analysis environments so you can focus focus on insights and innovation.
► appsilon.com/services/platform
Where Technology Meets Science podcast is available on all podcasting platforms:
► Spotify: open.spotify.com/show/6MckhYFZCwGU4Op6P09foR
► Apple Podcasts: apple.co/3CJDdVy
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
► appsilon.com/blog
LinkedIn: linkedin.com/company/appsilon
_________________________________________
00:00 – Introduction to the episode and our guest
2:25 – Why pharma is adopting open source
4:36 – Regulatory impact on open source
6:41 – Risks of using open source in pharma
10:37 – The role of the R language
15:16 – About the Admiral package
27:08 – The XPT file challenge
32:50 – An unsolved problem in the field
34:31 – Outro and closing remarks
