Machine Learning Scientist

at  Roche

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
The Geometric ML group within the Machine Learning for Drug Design department of gCS/gRED seeks outstanding researchers who have a validated research background in computational and machine learning methods for biology, a passion for research and technical problem-solving, and a shown ability to implement ideas and apply methods.
The group provides a dynamic and challenging environment for ground breaking research. Our mission is to develop and apply physics-based and machine learning methods in designing novel macromolecules. Researchers in this role will develop, lead, and apply computational approaches for large molecule property prediction and generative design.
You will play a pivotal role in supporting, applying, and advancing the next generation of large molecule computational models for drug discovery. We seek an individual who has a consistent record of delivering innovative solutions in machine learning and protein design. Your responsibilities will include data preparation and cleaning, deploying both internal and external discriminative and generative models, and closely collaborating and presenting with colleagues in pRED’s and gRED’s antibody engineering department.

Please refer the Job description for details