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The Large Molecule Drug Discovery group in Basel within Prescient Design/AI4DD, a division devoted to developing structural and machine learning-based methods for protein design within the new Computational Sciences Center of Excellence (CoE), seeks exceptional researchers who have a demonstrated research background in machine learning and protein structural biology and design, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.

We are looking for talented Senior ML Scientists to join Prescient Design/AI4DD. The successful candidate will contribute to our antibody design efforts, partner with biologists, technologists and drug discoverers to develop new machine learning methods for de novo protein design with special application to protein therapeutics.

Develop cutting-edge machine learning methods for analyzing biological data, focusing on structural biology and chemical molecules.

Deliver deep learning-based software solutions that accelerate drug discovery, design, and therapeutic development.

Collaborate with talented AI/ML scientists and form close working relationships with teams across Roche's global research and early development organizations.

Publish high-quality, impactful scientific articles and present your findings at major conferences and internal meetings.

Write structured, tested, and maintainable code, participating in code reviews to ensure quality and distribute knowledge.

Actively shape and contribute to our collaborative and innovative team culture.

You hold a PhD in a quantitative field (such as Computer Science, Physics, Mathematics, or Statistics) and have a strong record of high-impact scientific publications.

You possess 3+ years of hands-on experience designing and training machine learning models on large and complex datasets, ideally with biochemical data.

You have demonstrated experience with modern machine learning techniques, including neural networks on graphs (e.g., graph convolution) or sequence models (e.g., self-attention).

You are highly fluent in Python and proficient with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX).

You are an excellent communicator and collaborator, fluent in both written and spoken English, with a passion for driving projects in a cross-functional environment.

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.