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Listen "Statistical Software Engineering"
Episode Synopsis
What can statisticians gain from the world of software engineering?
How can coding practices from companies like Google help us enhance the quality of statistical work in the pharmaceutical industry?
In this episode of The Effective Statistician, I talk with Daniel Sabanés Bové to explore these questions. Daniel walks us through his career, from working as a biostatistician at Roche to becoming a data scientist at Google, and shares why he returned to healthcare. We discuss how applying software engineering principles—like clean coding, automation, and collaboration—can transform the way statisticians work.
If you want to improve your coding skills and efficiency using open-source tools and better workflows, this conversation with Daniel offers practical insights and a glimpse into his new consulting venture, RCONIS.
How can coding practices from companies like Google help us enhance the quality of statistical work in the pharmaceutical industry?
In this episode of The Effective Statistician, I talk with Daniel Sabanés Bové to explore these questions. Daniel walks us through his career, from working as a biostatistician at Roche to becoming a data scientist at Google, and shares why he returned to healthcare. We discuss how applying software engineering principles—like clean coding, automation, and collaboration—can transform the way statisticians work.
If you want to improve your coding skills and efficiency using open-source tools and better workflows, this conversation with Daniel offers practical insights and a glimpse into his new consulting venture, RCONIS.
More episodes of the podcast The Effective Statistician - in association with PSI
Introduction to adaptive designs and ICH E20
20/10/2025
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