2025 Spring Master Thesis Internship - Prescient Design / Machine Learning for Drug Discovery (6 months, Basel)
Roche fosters diversity, equity, and inclusion, representing the communities we serve. 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
Department Summary
Prescient Design has joined Genentech’s Research and Early Development organization (gRED) to apply their cutting-edge technology and machine learning approach to our drug discovery efforts. We believe that Prescient Design’s platform and expertise, combined with our growing internal computational capabilities, can ultimately help us bring better medicines to patients, faster.
Our Machine Learning and Drug Discovery team is focused on advancing fundamental machine learning and their application to real-world challenges in drug discovery. Our mission is to uncover ideas and technologies that will make a meaningful impact on healthcare, shaping the future of how treatments are developed. Instead of focusing on incremental improvements, we tackle complex problems that require creative thinking and a broad perspective.
This master thesis internship position is located in Basel, Switzerland, on site.
The Opportunity:
* You will develop a method using geometric machine learning for explainable hydrophobicity estimation of antibodies, backed by in-vitro datasets.
* You will collaborate closely with our team in Basel, New York, and San Francisco.
Program Highlights:
* Intensive 6 months, full-time (40 hours per week) internship.
* Program start dates are up to an agreement.
* Work with some of the most talented people in the biotechnology industry.
Who You Are:
* Must be pursuing a Master’s degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, or related technical fields.
* Good knowledge of machine learning fundamentals. Familiarity with graph neural networks, geometric deep learning, or explainability approaches would be helpful.
* Hands-on experience building and training neural networks with at least one DL framework (preferably PyTorch).
Required Majors:
* You are an enrolled university student in your Master’s programme or have pursued your Master’s degree not longer than 12 months prior to the start date.
* Non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory and must be continuously enrolled in their university program for the whole duration of this internship.
* Applications need to include a CV, a motivation letter, and the enrolment certificate.
Preferred Knowledge, Skills, and Qualifications:
* Excellent communication, collaboration, and interpersonal skills.
* Complements our culture and the standards that guide our daily behaviour & decisions: Integrity, Courage, and Passion.
Who We Are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Our success is built on innovation, curiosity, and diversity.
Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site. We believe in the power of diversity and inclusion and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
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