Principal Scientist, Machine Learning

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A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

The Swiss Machine Learning (ML) group within Prescient Design / (MLDD – Machine Learning for Drug Discovery) in Roche/Genentech seeks exceptional researchers who have a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.

The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) and Pharmaceutical Research and Early Development (pRED) partners and research units.

We are looking for talented Principal Scientists to join Prescient Design/MLDD, a division devoted to developing structural and machine learning-based methods for protein design within Genentech’s Computational Sciences (gCS) department. The successful candidate will lead a group of AI/ML scientists working on cross-functional projects, partnering with biologists, technologists, and drug discoverers to develop new machine learning methods for protein design with special application to protein therapeutics.

The Opportunity

• You will assume a hands-on leadership role to lead a group of talented AI/ML scientists located in Basel and hosted by Roche.

• You will be expected to form close working relationships with protein therapeutic development efforts across the pRED and gRED organizations.

• You will develop cutting-edge machine learning methods for the analysis of biological data and processes which can be represented as graphs or sequences, with a focus on structural biology data and chemical molecules.

• Publish high-quality impactful scientific articles and present at conferences, business meetings, and academic institutions.

• Deliver deep learning-based software solutions for accelerating drug discovery, design, and therapeutic development.

• Develop the team’s culture. Write structured, tested, readable, and maintainable code.

• Participate in code reviews to ensure code quality and distribute knowledge.

Who you are:

• Possess a PhD in a quantitative field (e.g., Physics, Chemistry, Computer Science, Mathematics, Statistics) with a record of impactful scientific publications.

• Over 6 years of experience in designing and training machine learning models on large, complex, and/or biased datasets, preferably with biochemical data.

• Demonstrated expertise in modern machine learning techniques, including neural networks on graphs or sequence models, and proficiency with Python and a deep learning framework (e.g., TensorFlow-Keras, PyTorch, JAX).

• Proven track record of leading and executing high-profile cross-functional projects to completion.

• Excellent communication and collaboration skills, with proficiency in English, both written and verbal.

Unwavering focus, collaborative teamwork, and exceptional delivery are key behaviors that drive our mission of doing now what patients need next. Together, we can be transformative.

If you are passionate about contributing to a committed team and have the dedication to partnership and innovation, Roche is the place for you! Every role at Roche plays a part in making a difference in patients’ lives. Apply now and join us in making an impact!

Roche is an Equal Opportunity Employer.

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