Causal Learning and Generalization Specialist

vor 1 Tag


Basel, Basel-Stadt, Schweiz Roche Vollzeit

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.

Our Frontier Research team is dedicated to advancing fundamental machine learning and its application to real-world challenges in drug discovery. We strive to uncover novel ideas and technologies that will make a meaningful impact on healthcare, shaping the future of how treatments are developed.

As a machine learning expert, you will develop methods inspired by causal ML to deliver robust, generalizable solutions. You will collaborate closely with our team in Basel, New York, and San Francisco. You are expected to contribute to and drive publications, and present your results at internal and external scientific conferences.

This internship position is located in Basel, Switzerland, on site. The program highlights include an intensive 6 months full-time commitment, flexible start dates as early as March 2025, and the opportunity to work with some of the most talented people in the biotechnology industry.

To be successful in this role, you should have good knowledge of machine learning fundamentals, familiarity with causal representation learning and/or out-of-distribution generalization, and experience with building and training neural networks. Familiarity with ML frameworks such as PyTorch is a plus.



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