Genentech

Overview In this role, you will advance foundational ML research with a focus on sampling and generative modeling to address biological questions. You’ll contribute to open science through publications and by presenting at scientific venues. You will collaborate with a large, globally distributed team to push the state of the art and to shape experiments and reusable code. This position sits within Roche’s Computational Sciences Center of Excellence, accelerating data-driven discovery for patients worldwide. A strong research impact and cross-functional collaboration are central to this opportunity.

Leistungen / Benefits discretionary annual bonus Verantwortungsbereiche Develop theoretical frameworks and algorithms for sampling and generative modeling Contribute to publications and present results at internal and external conferences Collaborate and execute on research that advances state-of-the-art in ML Directly contribute to experiments: design, code, run evaluations, organize results Work with a large, globally distributed team Zentrale Anforderungen PhD in Mathematics, Physics, Computer Science, Statistics, Machine Learning, or related disciplines with 2-7 years of experience Strong publication record in generative modeling (JMLR, NeurIPS/ICML/ICLR/COLT) Strong communication and collaboration skills Preferred: published work with theoretical contributions strong communication collaboration ability to work in a distributed team generative modeling theoretical ML sampling methods