The Future of R in Clinical Programming | Episode 14

Episode Summary

In this episode, we sit down with David, an expert in R programming for clinical trials, to discuss the evolving landscape of statistical programming. From his unconventional journey from journalism and philosophy into programming to his deep insights on the maintainability and stability of R in the pharmaceutical industry, David shares his perspective on the challenges and opportunities of open-source programming. He explores the key differences between R and SAS, the critical importance of backward compatibility, and how organizations can future-proof their R-based systems. David also introduces his work on PackageDiff, a tool aimed at addressing package stability, and shares his thoughts on AI's role in the space. This is a must-listen for anyone working with R in regulated environments.

Biography David

David J. Bosak is the Chief Software Architect at Archytas Clinical Solutions. He has been a consultant to pharma and non-pharma companies for over 25 years. He has extensive experience creating solutions in SAS, .NET, database, and web technologies. Currently obsessed with R, he has become an active package developer, and has ten R packages published on CRAN.

Resources

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