Genentech - South San Francisco, CA
posted 3 months ago
Genentech is seeking a highly skilled and motivated Senior Machine Learning Scientist to join the BRAID team (Biology Research | AI Development) within our Computational Sciences organization. This position is pivotal in developing novel machine-learning methods aimed at transforming drug development and clinical trial design. The successful candidate will focus on advanced methodologies such as multimodal generative models, representation learning, and reinforcement learning. The role demands a deep understanding of machine learning concepts, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology. The candidate is expected to routinely publish work in top-tier Machine Learning and scientific venues, contributing to the advancement of the field and the organization’s mission. In this role, the Senior Machine Learning Scientist will design and implement novel machine learning algorithms tailored to the complexities of clinical trial data. This includes working with foundation models for longitudinal data, geometric deep learning models for biological data, and models for image, text, and omics data. Collaboration is key, as the candidate will work closely with cross-functional teams, including biologists, clinicians, data scientists, and other stakeholders, to integrate machine learning solutions into clinical decision-making processes. The role also involves analyzing complex biological and clinical data to derive insights that guide decision-making in drug development and trial design. Staying abreast of the latest developments in machine learning and their applications in healthcare and clinical trials is essential, as is publishing findings in relevant journals and conferences.