The Evolution of Statistical Programming: How AI, Open Source & Traceability are Shaping the Future | Episode 17

Episode Summary

Andrew York has over 30 years experience as a statistical programmer and biostatistician. From the beginning of his career as a statistician at Roche, to his current role as Clinical Data Science Vice President at Novo Nordisk, Andy has seen the industry evolve and has played a leading role in shaping best practice in the industry.

Reflecting on these experiences, in this episode Andy shares his unique perspectives on the evolution of statistical programmers. Alongside this, Tomás and Andy discuss open-source programming, where the industry would be without standards, and the need for standards that are more sympathetic to AI and automation driven processes. Andy also explains why achieving full end-to-end traceability currently poses such a challenge, and why doing so has immense benefits to changing how we program studies today.

In this conversation, we explore:

• The history of statistical programming and how the modern statistical programmer came to be
• Standards and their role in driving the industry forward
• Opportunities and challenges of open source programming
• Traceability and its potential in changing how we build and validate programs today
• The future of statistical programming and how AI will transform current ways of working

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About The Verisian Community Podcast

The Verisian Community Podcast brings together experts in clinical trials to exchange innovative ideas and best practices central to clinical reporting, submission and review. Aligned with Verisian's mission to accelerate the evaluation and market launch of new medical treatments, each episode features expert insights, with guests ranging from statistical programmers to medical writers, to discuss the challenges and opportunities of the latest software and technology.

You can listen to us on Apple Podcasts or Spotify.

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