Senior Machine Learning Scientist, AI for Biology & Translation

About the role

Genentech's AI Biology & Translation (AIBT) team applies state-of-the-art artificial intelligence to accelerate biomedical discovery, combining foundation models, multimodal machine learning and large-scale biological data to advance target discovery, disease understanding, biomarker development and translational science. The role seeks a Senior Machine Learning Scientist to lead the development and application of next-generation AI technologies for biomedical research, working across computational and experimental disciplines.

Key responsibilities

• Develop and apply state-of-the-art machine learning methods to solve challenging problems in biology and translational research.
• Develop, adapt and evaluate foundation models, large language models, multimodal models and generative AI approaches for biomedical applications.
• Design scalable machine learning workflows integrating biological, molecular, imaging and clinical datasets.
• Lead technical efforts to optimize, benchmark, validate and interpret AI models for scientific use.
• Collaborate with computational scientists, software engineers, biologists, clinicians and therapeutic area researchers to turn AI into scientific capabilities.
• Establish best practices for model development, evaluation, reproducibility and deployment.
• Stay ahead of machine learning advances and apply emerging AI technologies to biomedical discovery.

Required profile

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Computational Biology, Statistics or a related quantitative discipline, with significant postdoctoral and/or industry experience.
• Demonstrated expertise in deep learning, foundation models, generative AI, large language models or multimodal learning.
• Proven experience leading technically complex machine learning projects from research through deployment or scientific application.
• Experience adapting, fine-tuning, evaluating and deploying large-scale AI models, and building reproducible, scalable ML pipelines and software.
• Excellent communication skills and ability to collaborate across multidisciplinary teams.
• Strong interest in applying AI to biology, translational science and drug discovery.
• Preferred: publications or significant technical contributions in ML, AI, computational biology or related fields; experience with multimodal biomedical datasets (genomics, transcriptomics, proteomics, imaging, pathology, clinical data); experience building production-quality AI systems or scalable ML infrastructure.

Required skills

• Python programming
• PyTorch, JAX, TensorFlow and Hugging Face
• Deep learning, foundation models, large language models, multimodal learning

What we offer

• Expected salary range of $147,800 - $274,400 based on the primary location of South San Francisco, CA, depending on experience, qualifications and location.
• A discretionary annual bonus may be available based on individual and company performance.
• The position qualifies for the benefits described in the original listing.
• Relocation benefits are not available for this posting.