**Job Description**
A Postdoctoral Fellow position is available within Genentech’s Computational Sciences (gCS) organization, specifically in the Sterne-Weiler Lab within Computational Biology / Discovery Oncology. The role focuses on developing and applying foundational AI models to investigate clinically relevant cancer vulnerabilities and their relationship with molecular context. The successful candidate will build and train new models to understand the impact of mutation on protein structure and the role of genomic alterations on cancer cell state, spanning functional genomics and large-scale clinical genomics. This computational role is highly collaborative, involving regular interaction with laboratory colleagues in the Discovery Oncology therapeutic area.
**Skills & Abilities**
• Demonstrated proficiency with Python and machine learning libraries (pytorch, sklearn).
• Experience with transformer architectures and interpretable AI methods and libraries (concept-bottleneck architectures, attribution packages: shap, captum).
• Experience with bulk and/or single-cell omics data analysis (e.g., bulk genomics and transcriptomics, single-cell RNA-seq, Perturb-seq).
• Demonstrated ability to clearly and effectively communicate about complex bioinformatics problems to both technical and non-technical audiences (evidenced by first-author publications in high-impact journals).
• Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational and laboratory biologists.
• Background in cancer genomics and pre- and/or post-training of foundation models for biology is preferred.
• Passionate about working in a scientific environment related to drug discovery and development.
• Able to prioritize, prototype, and pressure-test new ideas quickly.
• Quick learner, curious about new areas, and takes initiative to implement ideas.
• Able to perform at a high level in a fast-changing and demanding environment.
**Qualifications**
Required Degree(s) in:
• Computational Biology
• Bioinformatics
• Computer Science
• Machine Learning related field
**Experience**
Other:
• First-author publications in high-impact journals
• Background in cancer genomics and pre- and/or post-training of foundation models for biology (preferred)
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