Uploaded September 2025 | Updated September 2026, 2 weeks ago

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Validated, modular, traceable, reproducible, compliant.
These terms dominate conversations about building computing environments for modern clinical data exploration.
👉 Learn more about Appsilon’s approach to modern SCEs here: appsilon.com/services/sce-for-pharma-biotech
📘 Download our free ebook: Building the Future of Statistical Computing Environments appsilon.com/resources/modern-sce-for-pharma-ebook

In this special live podcast episode, we cut through the noise with experts from Appsilon, Jazz Pharmaceuticals, and Novo Nordisk to explore:

- What the ideal Statistical Computing Environment (SCE) looks like
- How to approach implementation
- Which option (off-the-shelf, custom, or hybrid) best fits different analysis needs

What you’ll gain from this episode:

* The evolution of the Statistical Computing Environment over the decades
* Key elements of a compliant, submission-ready environment
* Practical implementation guidelines
* Real-world success stories
* Common challenges and how to overcome them

Speakers:
- Megan Dunham – Director, Technology Enablement, Data Science at Jazz Pharmaceuticals
- Andrew York – VP, Clinical Data Science at Novo Nordisk
- Rafael Pereira – Platform Unit Lead at Appsilon
- Nat Chrzanowska – Host, Appsilon