
Free Daily Podcast Summary
by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.
The most recent episodes — sign up to get AI-powered summaries of each one.
How can we make sure our analyses lead to action? I’m joined by Dr. Annika Bergbauer, economist, IT management consultant, and host of Datenaffaire, to explore how we can put people at the centre of data-driven decisions. We discuss stakeholder engagement, clear communication, and the human skills that help us turn technical work into practical impact.
How can statisticians improve dose decisions and drive innovation in their everyday work? I speak with Marie-Karelle Rivière and Anaïs Andrillon from Saryga about Project Optimus, their approach to dose optimization, and what it takes to turn challenging questions into meaningful research.
What helps us build a fulfilling career in statistics beyond technical expertise? In this episode, I speak with Godwin Yung, who leads the Statistical Methodology group at Roche–Genentech, about lessons from his first decade in the pharmaceutical industry. We explore three themes from his career reflections: finding purpose, listening to understand, and learning from mentors. Godwin shares the personal stories behind these lessons, from persevering through a difficult publication journey to discovering leadership strengths he once took for granted. Together, we discuss how we can contribute more effectively at work while making room for the people who matter most.
How do we generate evidence that supports regulatory approval, patient access, and better care? In this episode, I talk with Gorana Capkun from Merck Healthcare, where she leads the patient-focused and real-world evidence team. We explore how integrated evidence planning brings together clinical trials, real-world evidence, and patient perspectives across the product life cycle. Gorana explains why planning should begin early, how collaboration helps teams identify evidence gaps, and why statisticians play a critical role in turning broad requests into precise research questions.
How can we make statistics meaningful to someone who does not work with it every day? I talk with Steve Mallett about his work with the PSI Schools team and the lessons it offers for training colleagues in pharma. We explore how hands-on activities, interactive data visualization, and a clear understanding of the audience can help people connect statistical concepts to patients and speak about results with greater confidence.
Will artificial intelligence make statisticians obsolete—or make our expertise even more valuable? In this episode, I speak with independent statistical consultant Chris Harbron about how AI could reshape the role of statisticians in the pharmaceutical industry. Our conversation builds on Chris’s paper, Will the Pharmaceutical Industry Need Statisticians in an AI World? We explore what happens when AI generates protocols, statistical analysis plans, programs, and reports. We also discuss why producing a plausible document differs from making sound decisions about clinical development. Chris and I examine the areas where human statisticians continue to add essential value—from navigating trade-offs and challenging assumptions to building trust and accepting accountability. We also share practical ways statisticians can begin working with AI while protecting quality, scientific rigor, and authenticity.
How can we build a patient-reported outcome strategy that captures the patient voice and strengthens clinical development? In this episode of The Effective Statistician Podcast, I speak with Julia Poritz, Senior Research Consultant on Cytel’s Evidence, Value, and Access team, about developing and implementing an effective patient-reported outcome (PRO) strategy for clinical trials. We discuss how PROs help us understand the effects of a disease and its treatment from the patient’s perspective—including symptoms, physical functioning, health perceptions, and overall quality of life. Julia explains how the Wilson and Cleary model helps us connect these different outcomes and create a clear measurement strategy. We also explore the four essential parts of a PRO strategy: selecting appropriate PRO measures, implementing them within the study, analyzing the data, and reporting the results. Throughout our conversation, we emphasize the importance of early planning, validated measures, patient relevance, regulatory expectations, and comparability with previous clinical trials.
In this episode, I talk with Ning Leng, Ph.D., Director II, Data and AI Acceleration Group, Data & Statistical Sciences at AbbVie, about the growing role of the R Consortium in the pharmaceutical industry. Ning brings extensive experience in statistics, computational genomics, open-source technology, and the adoption of R across the pharmaceutical industry. Before joining AbbVie, she spent 10 years at Roche Genentech, where she helped drive the adoption of R, cloud technologies, Git, and Shiny. We discuss how the R Consortium creates a platform for statisticians, programmers, pharmaceutical companies, and regulators to collaborate on practical challenges—and how that collaboration is changing the way we approach regulatory submissions.
Free AI-powered daily recaps. Key takeaways, quotes, and mentions — in a 5-minute read.
Get Free Summaries →Free forever for up to 3 podcasts. No credit card required.
Listeners also like.

In the Interim...
Explores Bayesian statistics and adaptive clinical trial designs in medical research with insights from industry experts.

Biostatistics Podcast
A podcast exploring various topics in biostatistics.

Stanford Psychology Podcast
Students interview psychologists about recent research and its real-world applications.

Speaking of Psychology
Explores recent psychological research and its applications to daily life.

Data & Science with Glen Wright Colopy
Discusses healthcare technology with experts, focusing on data science and engineering innovations in clinical applications.

The Social Impact Solutions Podcast
Practical strategies for measuring and promoting social impact to attract support and drive change.

Peak Performance Life Podcast
Covers health, energy, and mental performance optimization through biohacking, nutrition, and lifestyle strategies.

Choiceology with Katy Milkman
Explores how behavioral science and real-life decisions reveal ways to improve judgment and make better choices.

Expert Intelligence with Paul Estes
Explores the intersection of human expertise and AI in shaping the future of work through interviews with industry leaders and innovators.

Data Science With Sam
Data scientists and AI practitioners discuss real tools, deployments, and lessons from working in data science and emerging technology.

Science Magazine Podcast
Weekly episodes covering original scientific research, global science news, and expert commentary.

Proven Podcast
Charles Schwartz
The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.
AI-powered recaps with compact key takeaways, quotes, and insights.
Get key takeaways from The Effective Statistician - in association with PSI in a 5-minute read.
Stay current on your favorite podcasts without falling behind.
It's a free AI-powered email that summarizes new episodes of The Effective Statistician - in association with PSI as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry.
Absolutely! The free plan covers up to 3 podcasts. Upgrade to Pro for 15, or Premium for 50. Browse our full catalog at /podcasts.
The Effective Statistician - in association with PSI publishes biweekly. Our AI generates a summary within hours of each new episode.
The Effective Statistician - in association with PSI covers topics including Science, Natural Sciences. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.