Head of Research Data Science Platforms


The successful candidate will plan and drive transformational data initiatives that enable our organization to maximize the scientific insights extracted from biological data generated at scale. These data types include, but are not limited to, high-dimensional genomics (with an emphasis on single-cell and spatial methods), human genetics, proteomics, and real-world clinical data. They derive from both internal data generation efforts, and the gathering of external data. By gathering, processing and manipulating these data, the goal is to enable Genentech computational research teams to efficiently leverage and effectively compute on these data (with a major emphasis on AI/ML approaches), and to drive our translational research.

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