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a pioneer, harnessing state-of-the-art Omics technologies to dissect fundamental biological mechanisms, power large-scale supervised and foundational machine learning initiatives, and comprehensively
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profiling experiments and applies advanced computational methods to derive actionable biological insights. This is a hybrid computational and wet lab based postdoctoral position. The Genentech scientific
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. This position offers a unique opportunity to be jointly mentored by experts in our Computational Biology and Medicine department and our Oncology Research organization. The Role: Primarily focused on tumor
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laboratory experiments Working knowledge of biochemical techniques is a plus. For information about the Vucic lab at Genentech, please go to: https://www.gene.com/scientists/our-scientists/domagoj-vucic https
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collaborative and multidisciplinary environment. Previous experience with proteomics is not required. To learn more about the Ori Lab, please see link below: https://www.gene.com/scientists/our-scientists
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or quasi-mechanistic models Multi-Agent AI Systems for Scientific Discovery: Pioneer the development of multi-agent computational systems where specialized AI agents collaborate to solve complex genomic
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The Position We advance science so that we all have more time with the people we love. A Postdoctoral Fellow position is available for a highly motivated and independent candidate to join the
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The Position We advance science so that we all have more time with the people we love. A position is available for a postdoctoral fellow to join the Genentech Computational Sciences (gCS
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intelligence (AI) residency) to advance scientific machine learning for clinical oncology. The project builds a hybrid framework that couples an existing quantitative systems pharmacology (QSP) model of cancer