SAS to R in Pharma – Creating Custom Solutions for Closed-Source Code

When supporting a heavily regulated pharmaceutical client in migrating their codebase from SAS to R, ProCogia encountered a complex pipeline built around a proprietary SAS function. The challenge was to develop an R-based solution that not only replicated the original functionality, but also integrated seamlessly with the client’s existing systems.

In this webinar, ProCogia’s Gabriel Brock walked through the approach they took to deliver a high-fidelity migration tailored to the client’s specific needs. Brock also highlighted why a structured evaluation process is critical to the success of any SAS-to-R migration effort—especially in high-compliance environments like pharma.

Speaker

Gabriel Brock – R Developer at ProCogia

Gabriel is an R Developer at ProCogia, where he has supported SAS-to-R migration projects and other advanced analytics initiatives since 2022. He brings a diverse background in pharmaceuticals, finance, healthcare, and consumer analytics, applying R to solve complex challenges in high-compliance environments.

His expertise spans statistical modeling, machine learning, and generative AI, with hands-on experience in text mining, simulations, and data visualization. Gabriel is fluent in R, Python, SAS, and SQL, and works regularly with cloud platforms like AWS and Google Cloud. He’s passionate about making data science accessible, scalable, and impactful—especially within the R ecosystem.