Navigating Challenges and Unlocking Opportunities as a Statistical Programmer
Description
Episode Summary
In this episode of the Verisian Community Podcast, we welcome Daniel Rolo, Director of Statistical Programming at Parexel to discuss the evolving landscape of statistical programming. Daniel addresses the shift from traditional tools like SAS to modern languages such as Python and R, emphasizing the response to increasing data complexity and the rise of open-source platforms and AI. He outlines the challenges programmers face when adapting to these new tools and provides strategies for effective learning and professional growth. The conversation also covers the importance of staying updated with changing clinical data standards and how to leverage new skill sets for career advancement. Daniel's insights offer a deep dive into the dynamic field of statistical programming, highlighting opportunities for innovation and industry advancement.
Resources
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