We're excited to be part of posit::conf 2025 in Atlanta - connecting with the R, Shiny, data science, and open-source community to share ideas, learn from innovators, and explore what’s next together.
Join us for an engaging Lunch & Learn where we’ll showcase practical strategies for building compliant, scalable, and efficient computing environments tailored for modern clinical development.
Expect:
- Concrete approaches to migrating from SAS to R
- Learn how leading clinical teams built modern Statistical Computing Environments (SCEs) that scale
- Interactive Q&A to get your questions answered
Book a 1:1 session to exchange ideas on building validated, modular computing environments, scaling open-source in regulated settings, managing SAS-to-R transitions without disrupting critical processes and what “AI-ready” actually looks like in a compliant context.
Bring your challenges, we’ll bring perspective, examples, and questions worth asking.
Workshop: Deploying reproducible analytics environments for regulated use cases | Tue, Sept 16th
Lunch & Learn: Next-gen SCE for your regulated clinical development
Virtual Talk: Deploy with Confidence: Strategies to Minimize Failure and Maximize Success (on Posit Connect)
Join us to explore practical strategies for building compliant, scalable, and efficient computing environments your teams need today.
Appsilon is coming to Posit::conf! Whether you're modernizing legacy systems, scaling Shiny apps, or navigating GxP compliance - we’re here to help. Meet us at our booth, join our Lunch & Learn session, or book a 1:1 with our team.
The spots are limited so it’s best to reserve your seat early. To secure your spot, message us directly or add the Session to your Posit::conf schedule.
The session’s most impactful for leaders, technical teams, and analysts in pharma or biotech seeking to improve or build scalable, compliant computing environments. Ideal for those modernizing analytics, enabling AI, or transitioning from SAS to R/Python. However, everyone’s welcome!
The Lunch & Learn sessions are live only and are not being recorded – but we’re happy to follow up with slides and other resources or a private recap. Just book a 1:1 meeting with our team.
We’re open to discussing any challenge or insight you have from validated computing environments, scaling open-source in regulated settings, SAS-to-R migration, to what “AI-ready” means in compliant clinical workflows. Bring your challenges, we’ll bring perspective, examples, and questions worth asking.
Explore how open-source technology – particularly R and Shiny is transforming clinical trials and the broader pharmaceutical industry.