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The Position

The Structure-Function ML group within Prescient Design/AI4DD, CS CoE in Basel seeks exceptional graduate interns with a demonstrated research background in structural biology, computational protein design, or machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.

Our mission is to develop and apply cutting-edge methods in designing novel molecules. Researchers will primarily focus on de novo computational protein design and the application of deep generative models but should be broadly interested in physics-, chemistry-, and biology-informed methods at the interface of wet lab biology and computational modeling that can help drive and sharpen the research questions we study.

The Opportunity

In this role, your responsibilities will include:

• Participate in cutting-edge research in physics-based modeling and machine learning and applications to drug discovery, design, and development.

• You will collaborate closely with cross-functional teams to solve complex problems in the life sciences e.g., structural and computational biology, computational chemistry, etc.

Who You Are

To succeed in this role, you have the following:

• You graduated from a Master's program within the last year, or you are enrolled in a PhD program in Computational Biology, Computational Chemistry, Physics, Computer Science, Statistics, Applied Mathematics, or a related technical field.

• Strong understanding of protein structure and function

• Previous experience in protein engineering or computational protein design

• Strong publication record and experience contributing to research communities

• Strong programming skills in Python and proficient with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX).

Additional Information

• Start Date: June 2026

• Length of Assignment: 6 months

• Internship is only possible on a full-time basis

Application process

Your application should include the following documents:

• An up-to-date CV and a motivation letter

• A certificate of enrollment (if you are currently studying)

• For non-EU/EFTA citizens: Due to legal requirements, you must provide a certificate issued by your university confirming that the internship is a mandatory part of your studies

If you are passionate about machine learning, we look forward to receiving your application!

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.