The Effective Statistician - in association with PSI

Episode Overview

In this episode, I speak with Anna Mosikian, a physician by training and Global Clinical Program Lead working at the intersection of clinical development and strategic marketing.

Anna brings a powerful perspective on how clinical data translates into real-world value—bridging evidence generation, regulatory expectations, and commercial impact. We dive into what clinical leaders truly expect from statisticians and how statisticians can move from technical contributors to strategic partners.

We explore what “good collaboration” really looks like in practice, why understanding the purpose of a study is critical, and how statisticians can elevate their impact through communication, proactiveness, and cross-functional thinking.

Trust is one of the most fundamental elements of effective leadership—and yet, most organizations don’t measure it properly.

In this episode, I speak again with my good friend Alun Bedding about how we can move from talking about trust to actually quantifying and improving it. We explore why trust is essential for collaboration, leadership, and performance, and what happens when it’s missing.

We also dive into practical tools like the Leadership Trust Index, how to interpret trust as a lead measure, and how organizations can systematically improve trust over time.

If you want to become a more effective leader and create real impact, this episode gives you both the mindset and the tools to do it.

In this episode, I sit down with Rachael Lawrance to dive into a topic that has become absolutely central to clinical research: patient-centered outcomes.

When I first started as a statistician, I knew these measures existed—but I didn’t really understand how they were developed, analyzed, or used in decision-making. That has changed dramatically over the years. Today, patient-reported outcomes (PROs) and the broader framework of clinical outcome assessments (COAs) play a key role in regulatory approvals, payer decisions, and how we demonstrate treatment value.

Rachael brings deep expertise from her work at Adelphi Values and shares how these endpoints are developed, validated, and applied in practice. We also discuss how statisticians can contribute more effectively by understanding the science behind these measures—not just treating them as “just another scale.”

pisode Summary

In this episode of The Effective Statistician, Alun Bedding speaks with Emma May about the skills that truly differentiate effective statisticians from great leaders.

While technical expertise remains essential, success in today’s environment increasingly depends on the ability to build trust, communicate effectively, and lead with emotional intelligence. Drawing from their joint leadership workshops, Alun and Emma explore how statisticians can develop these capabilities and apply them in real-world settings.

They discuss practical approaches to creating psychological safety, shifting from a “telling” to a coaching mindset, and fostering a growth mindset within teams. The conversation highlights why leadership is not about having all the answers—but about enabling others to contribute, grow, and succeed.

Generative AI is moving fast—and in pharma, it’s no longer just a buzzword. In this episode of The Effective Statistician Podcast, I speak with Manuel Cossio about how Generative AI is already being applied in real-world pharma settings, where it’s delivering value today, and what still needs careful consideration in regulated environments.

Manuel brings a unique hybrid background, combining molecular biology, genetics, pharma experience, and deep AI engineering expertise. He works at the cutting edge of AI in clinical development, including agentic systems, human-in-the-loop approaches, and large-scale document automation.

This conversation goes well beyond theory. We focus on practical use cases, real limitations, and how statisticians, programmers, and data scientists can responsibly use GenAI to become more effective.