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Senior Machine Learning Scientist, BRAID (Genomics ML)

Genentech

$167,400 - $310,800
Aug 19, 2025
South San Francisco, CA, US
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To harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering more innovative and transformative medicines for patients worldwide at Genentech.

Requirements

  • PhD or equivalent experience in computational biology (e.g. Computer Science, Bioinformatics, Computational Biology, or related technical field)
  • Excellent knowledge of the practice of deep learning and familiarity with modern architectures as demonstrated in past projects and/or publications
  • Extensive experience with biological imaging modalities and be familiar with the opportunities and limitations of this data modality and its integration with molecular modalities
  • Advanced skills in Python and Machine Learning libraries such as Pytorch and Pytorch Lightning
  • Strong analytical and written/verbal communication skills

Responsibilities

  • Lead development and application of next generation ML methods for the representation, analysis and interpretation of image-based data and its integration with molecular data modalities
  • Collaborate closely with different therapeutic areas and cross-functional teams in gRED to understand needs and concerns
  • Provide domain specific input to the development of foundation models
  • Scale ML models to large biological imaging datasets, working at the intersection of deep learning and engineering challenges to support new scientific questions
  • Regularly publish in top-tier ML, computational biology venues and/or scientific journals, presenting results at internal and external scientific venues, conferences, and workshops

Other

  • Relocation benefits are available for this job posting
  • Motivated to learn and apply new Machine Learning techniques working as part of a team with other department members
  • An interest in developing and applying biological foundation models for target discovery and drug development