Case Study: Global Biopharmaceutical Company achieves FDA-qualified, reproducible research at scale to accelerate cancer discoveries with Domino Data Lab

Testing Thousands of Hypotheses with an FDA-Qualified Research Platform

A global biopharmaceutical company undertook a digital transformation to modernize its statistical computing environment, migrate legacy systems to the cloud, and standardize research systems and processes across discovery, development, production, and sales. Their challenges included giving 500+ researchers and data scientists independent access to diverse tools and elastic cloud compute, breaking down siloed teams, ensuring rigorous reproducibility by capturing all dependencies (code, libraries, OS, data pipelines), and streamlining workflows to productionize models and publish results to 400+ internal and external consumers.

The company deployed an FDA‑qualified research system of record on Domino’s Enterprise MLOps platform running on AWS, giving teams one‑click access to tools like R, Python, SAS, PyTorch and MATLAB, standardized workspaces, automatic tracking of code/data/packages, and documentation‑as‑code for FDA submissions. The phased rollout with training enabled rapid adoption; outcomes include 10,000+ hypotheses tested, 2,000+ active users, analysis of 10,000+ tumors that produced new drug and immunity insights, faster FDA submissions, improved manufacturing predictability, and greatly increased reproducibility and operational efficiency.