Prescient Design, within Genentech Research & Early Development (gRED), is a research group dedicated to the intersection of machine learning and drug discovery. Our mission is to leverage cutting-edge ML methods—particularly deep generative models and foundation models—to design novel molecules and understand complex biological systems. We apply state-of-the-art techniques to proteins, small molecules, and nucleic acids, conducting fundamental research to push the boundaries of what is computationally possible in healthcare. At Prescient Design, we’re building Lab‑in‑the‑Loop - Genentech’s platform that couples generative ML with automated wet‑lab experimentation to continuously design, test, and learn from new therapeutic molecules. The result is a closed feedback loop: models propose candidates, the lab runs assays, we ingest results, and the system gets smarter with every cycle. This isn’t theoretical: our Lab‑in‑the‑Loop work has already shown multi‑round optimization on clinically relevant targets, testing thousands of variants with large affinity gains. We are seeking exceptional graduate students with a strong research background in machine learning, as well as software design, and a passion for understanding the limits and capabilities of modern AI. You will join a team of ML scientists, engineers, and computational biologists to conduct fundamental research that pushes the boundaries of how we model molecules. Join a vibrant team and participate in cutting-edge research in machine learning Research and implement methods to evaluate the capabilities of large-scale foundation models across different data modalities Analyze model performance on diverse biological tasks (e.g., binding prediction, property estimation) to identify failure modes and architectural improvements. Integrate foundation models into our Lab-in-the-Loop product platform Contribute to our internal codebases and open-source frameworks to facilitate reproducible research. Collaborate with a cross-functional team of ML scientists, engineers, and computational biologists Intensive 12-weeks, full-time (40 hours per week) paid internship. Program start dates are in May/June (Summer) A stipend, based on location, will be provided to help alleviate costs associated with the internship. Ownership of challenging and impactful business-critical projects. Work with some of the most talented people in the biotechnology industry.