At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The Institute of Human Biology (IHB) is a research center in Basel, Switzerland, dedicated to engineering advanced human model systems for drug discovery, development, and precision medicine. The IHB fosters an interdisciplinary environment bridging academic and pharmaceutical research, connecting biologists, engineers, and data scientists. It has close ties to Roche's Pharmaceutical Research and Early Development (pRED) organization and Genentech (gRED), and collaborates with leading academic institutions including ETH Zürich, University of Basel, and EPFL, as well as globally. Basel is an international hub for research and innovation, cultivating training environments through institutions like the University of Basel and ETH Zürich's Department of Biosystems Sciences and Engineering, creating a melting pot of research development and commercialization.

The Opportunity

The ML for Biosystems Engineering group led by Jonas Fleck is seeking a highly motivated intern to develop machine learning methods for organoid phenotyping and high-throughput screening. You will be part of an exciting scientific community at the IHB and receive mentorship by experts in machine learning, computational biology, and organoid engineering. In collaboration with computational and experimental scientists, you will work with rich, high-content datasets and develop and apply state-of-the-art machine learning methods to tackle challenging questions in human biology and disease.

Possible research areas include:

• Predictive ML methods for high-throughput perturbation screens in organoids.

• Multimodal integration methods and foundational models of imaging and genomics data for comprehensive organoid phenotyping.

• Predictive methods for cell fate engineering.

• Methods for causal and mechanism discovery from high-content perturbation experiments.

• Active learning strategies for iterative experimental design ("lab-in-the-loop").

Who You Are

To successfully execute the responsibilities of this role, candidates must demonstrate the following:

• Master’s degree and/or ongoing masters or PhD studies in computational biology, computer science, machine learning, or related technical field

• Proficiency in Python (including familiarity with ML frameworks like JAX/PyTorch) and modern software engineering tools (Git, CI/CD, and software packaging).

• Excellent communication and data visualization skills, with the ability to explain technical concepts and complex findings clearly to non-technical audiences.

• Drive to creatively tackle challenging problems in biomedical research and enthusiasm for translating ML methods to impactful applications in collaboration with experimental scientists.

• Nice-to-have: Experience applying or developing ML methods for biomedical data (genomics, imaging, scRNA/ATAC-seq) and a matching track record of publications or open-source contributions.

Application Process

• Please upload a current CV and a Motivation Letter, where you indicate your preferred start date of the internship.

• Please note that, due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents, and must be continuously enrolled in their university or PhD program for the whole duration of this internship.

Ready to take the next step? We'd love to hear from you. Apply now to explore this exciting opportunity!

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.