Principal Machine Learning Scientist, Foundation Models, AI for Drug Discovery

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.

In this role, you will:

• 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.

Preferred

• Intense curiosity about the biology of disease, drug discovery, and development

• Passion to contribute to scientific and computational efforts.

Relocation benefits are available for this job posting

The expected salary range for this position, based on the primary location of New York City, is $185,600 - 344,600 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

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Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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