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

At Genentech’s AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking talented scientists with a research background in ML, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.

AIDD’s Foundation Model team is seeking an exceptional Principal ML Scientist to develop the next generation of multimodal foundation models & LLMs and enable the next generation of AI/ML-powered drug discovery applications as part of our Lab-in-the-Loop. We are looking for someone who is not only passionate about technical problem-solving but also has a proven research track record. The ideal candidate should have extensive experience in both the science and engineering of ML, and be able to foster a culture of innovation, collaboration, and excellence across the broader Roche organization.

The group provides a dynamic and challenging environment for multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as collaborations with internal Genentech and Roche teams.

The Opportunity

• Participate in cutting-edge research in machine learning with applications to drug discovery and development.

• You will collaborate closely with cross-functional teams across Genentech and Roche to solve complex problems in multimodal and representation learning.

• You will provide technical leadership in machine learning, both in research and engineering, driving and shaping research directions for foundation model applications to drug discovery across Genentech and Roche.

• You will be expected to contribute to and drive publications, and present results at internal and external scientific conferences.
  

Who You Are

• Ph.D. in Computer Science, Statistics, Applied Mathematics, Physics, related technical field, or equivalent practical experience.

• At least 2-7 years of relevant work experience.

• Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc. including at least one first author publication or equivalent.

• Strong programming skills in languages like Python, C++, Java, or Go.

• Extensive experience with deep learning frameworks like PyTorch.

Intense curiosity about the biology of disease, drug discovery and development, and passion to contribute to scientific and computational efforts.

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.