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