#datascience #genAI #clinicaltrials #clinicalreporting #AIinpharma #GenerativeAI #Roche #AIautomation #pharmaceuticalindustry #AIchallenges #AIbot #chatbots #copilot #codingassistant

In this episode, we speak with Vincent Shen, Senior Principal Data Scientist at Roche, about the actual impact of generative AI in clinical data analysis. Vincent shares insights from his work implementing AI-powered tools, such as knowledge chatbots and coding assistants, that support clinical reporting at Roche. We discuss the evolving role of AI, the challenges of integrating it into clinical trial workflows, and the importance of rethinking the processes to  ensure effective AI use.In this episode:

• AI will augment rather than replace data scientists in clinical trial workflows.
• Roche has successfully deployed a GenAI-powered knowledge bot, saving an estimated 25 hours per 100 questions.
• Coding assistants help data science teams accelerate time-to-insight.
• Providing detailed specifications is essential for AI to deliver accurate and meaningful results.
• Training AI models requires extra effort to ensure they correctly interpret context and domain-specific requirements.
• The next big step is to rethink how processes are designed, not just automate existing ones.

Vincent Shen
https://www.linkedin.com/in/vincent-shen-vs/ 
Nat Chrzanowska
https://www.linkedin.com/in/nat-chrzanowska/ 
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