Roche is seeking to advance drug discovery and development through the application of AI, data, and computational sciences. The goal is to create a unified Computational Sciences Center of Excellence (CoE) to harness the power of data and AI to deliver innovative medicines for patients worldwide.
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.
Responsibilities
- Participate in cutting-edge research in machine learning with applications to drug discovery and development.
- Collaborate closely with cross-functional teams across Genentech and Roche to solve complex problems in multimodal and representation learning.
- 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.
- Contribute to and drive publications, and present results at internal and external scientific conferences.
Other
- Relocation benefits are available for this job posting.
- 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.
- Intense curiosity about the biology of disease, drug discovery, and development (preferred).
