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
Principal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD) in Basel Arbeitgeber: Genentech
Als Arbeitgeber im Bereich Biometrie bietet Roche eine inspirierende Arbeitsumgebung, in der Innovation und Teamarbeit im Mittelpunkt stehen. Unsere Mitarbeiter profitieren von umfangreichen Entwicklungsmöglichkeiten, einem flexiblen Arbeitsmodell und einem attraktiven jährlichen Bonus, während sie an der Schnittstelle von Technologie und Gesundheitswesen arbeiten, um die Patientenversorgung zu verbessern. In unserem dynamischen Team fördern wir eine Kultur des Wissensaustauschs und der Zusammenarbeit, die es jedem ermöglicht, einen bedeutenden Beitrag zu leisten.
