The Verisian Community Podcast

Verisian

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.

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

    Description 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   00:00 - Introduction to the Verisian Community Podcast 02:03 - The history of statistical programming and Andrew’s journey within the industry 12:19 - Where would the industry be without standards? 21:14 - Adoption of open source 36:07 - Building a computing environment 40:11 - How can traceability transform statistical programming? 52:06 - How AI will impact the future of statistical programming 01:09:25 - The changing role of a statistical programmer 1:12:14 - Rapid fire questions   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.   Resources Learn more about us: https://www.verisian.com/ Join the Verisian Community: https://www.verisian.com/community  Follow us on LinkedIn: https://www.linkedin.com/company/verisian/      Listen on: Spotify: https://open.spotify.com/show/6EnSKNpv5ENwDTIElqRDxW  Apple Podcasts: https://podcasts.apple.com/us/podcast/the-verisian-community-podcast/id1719471109

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    Open Source and OpenStudyBuilder | Episode 13

    Episode Summary In this episode of the Verisian Community Podcast, Katja explores the huge potential of open-source tools in clinical development. She discusses how platforms like OpenStudyBuilder are revolutionizing study design and collaboration within the pharma industry. Katja shares her experiences in overcoming resistance to open-source adoption, addressing challenges like regulatory constraints and industry skepticism. The conversation delves into the evolving role of traditional tools like SAS alongside modern languages such as R and Python. Katja closes with a forward-looking vision for how open-source technology can reshape the future of clinical development and regulatory submissions over the next decade. Biography Katja As open source consultant, Katja hosts a portal about open-source solutions for Pharma (www.glacon.eu/portal) and provides open-source consulting. Her key experiences are SAS, Web Technologies, ADAM, Define.xml and the TLF generation where she worked for several years at Bayer. Additionally, she is the community manager for the OpenStudyBuilder open source project, is a board member of the CDISC Open Source Alliance and part of the PHUSE Open Source Technology in Clinical Data Analysis Board. Resources Learn more about us: https://www.verisian.com/ Join the Verisian Community: https://www.verisian.com/community Follow us on LinkedIn: https://www.linkedin.com/company/verisian/

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    Automation and AI in Clinical Trial Reporting | Episode 12

    Episode Summary In this episode, Shafi discusses his decades-long journey and what led him into the world of statistical programming. He shares insights into the evolution of automation in clinical trials, its role in transforming traditional tasks like validation and double programming, and the impact AI is having on oversight and traceability for large teams. Shafi also addresses the ongoing challenges in scaling AI for clinical trial reporting and how embracing these technologies is critical for staying ahead in the evolving landscape of the industry. Biography Shafi Shafi has been a programmer in the pharmaceutical industry for 30 years and holds an MSc. in Statistics. After working for CROs and Pharma companies across Europe, he founded Shafi Consultancy in 2001 to support statistical programming from their offices in the UK and Bangladesh. Shafi is driven by helping others to become skilled programmers and by innovating to improve process efficiency in the industry. To this end, his team has developed training videos and applications for Risk-Based Monitoring, Visualisation and automation of clinical programming activities in Metalytics, that auto-generates programs and removes the mundane, routine and repetitive tasks. Shafi believes that an open discussion of ideas helps the industry to continuously develop and has been a regular presenter at industry conferences like Phuse, PSI and PAGE for almost 20 years. Resources Learn more about us: https://www.verisian.com/ Join the Verisian Community: https://www.verisian.com/community Follow us on LinkedIn: https://www.linkedin.com/company/verisian/

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    Mastering Statistical Programming: Journey, Skills, Challenges, and Future Insights | Episode 10

    Episode Summary In this episode of the Verisian Community Podcast, we welcome Sunil Kumar Pusarla to share his journey and insights from over 20 years in statistical programming. Sunil discusses the skills and traits essential for success as a statistical programmer, addressing the challenges and pressures that professionals face today. He emphasizes the importance of maintaining high-quality standards, even under tight deadlines, and compares the distinct cultures and expectations of big pharma versus smaller biotech companies. Sunil also explores how technological advancements are reshaping the role of statistical programmers and offers his vision for how the field will evolve over the next decade, including the new skills that will become crucial in the future. Biography Sunil Kumar Pusarla He acquired base and advanced SAS certifications as well as a couple of R certificates from HarvardX. He presented a few papers on SAS user conferences on techniques to help clinical and statistical programmers. His career at Omeros started as a SAS programmer and now he is leading the department as Sr. Director of Statistical Programming. He was involved in 4 successful regulatory filings and 3 of them got drug approvals. Resources Learn more about us: https://www.verisian.com/ Join the Verisian Community: https://www.verisian.com/community Follow us on LinkedIn: https://www.linkedin.com/company/verisian/

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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.