Principal Machine Learning Scientist, Foundation Models, AI for Drug Discovery
About The Position
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. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. The Opportunity At Roche'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.
Requirements
- 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.
Nice To Haves
- Intense curiosity about the biology of disease, drug discovery, and development
- Passion to contribute to scientific and computational efforts.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
