THE OPPORTUNITY

Genentech is seeking an exceptional Senior Machine Learning Scientist to join the BRAID (Biology Research | AI Development) team within our Computational Sciences organization. This role will focus on developing novel machine learning methods to transform clinical trial design and translational medicine, with a strong emphasis on foundation models for clinical genomics and real-world data. You will work at the intersection of machine learning, omics (DNA, RNA), and EHR data, advancing algorithms that integrate biological and clinical modalities to improve patient stratification, target selection, and treatment outcomes. The ideal candidate will possess in-depth expertise in modern machine learning approaches (e.g., transformer-based models, generative modeling, representation learning) and a track record of impactful research in clinical genomics or multimodal biomedical data analysis. A passion for interdisciplinary collaboration and a commitment to open scientific communication are essential.

• Design and implement novel machine learning algorithms tailored to the complexities of clinical trial data (e.g., sequence models for patient omics data).
• Collaborate with cross-functional teams including biologists, clinicians, data scientists, and other stakeholders to integrate machine learning solutions into clinical decision-making.
• Work closely with biologists, clinicians, and translational scientists to develop clinically meaningful AI tools that integrate molecular signatures, patient trajectories, and trial outcomes.
• Analyze large-scale datasets including whole transcriptome, whole exome, and real-world clinical data to derive insights into disease progression, treatment response, and patient stratification.
• Maintain awareness of current research trends in machine learning for biomedicine and contribute to scientific leadership in this space.
• Publish research in top-tier ML and computational biology conferences and journals.