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—including next-generation sequencing, single-cell approaches, genome engineering, and spatial biology—to study mechanisms of tumor initiation and progression. Collaborate across disciplines to translate basic
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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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that combine the engineering and analytical principles of multiple scientific disciplines. We are seeking a talented postdoctoral fellow to join our team and advance our mission by contributing to the discovery
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technologies to advance basic research programs as well as support a multitude of modalities across Genentech’s therapeutic pipeline. The Neuroscience department aims to discover novel pathogenic mechanisms
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be developing and applying advanced AI models and sophisticated multi-agent systems to address pressing challenges in regulatory genomics. Key research areas include: Mechanisms of Common and Rare
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leveraging collaborations within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record
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streamline and accelerate the development of the projects. Share research through scientific publications, national and international conferences, and internal presentations. Who You Are: PhD graduate in
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hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
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: Ph.D. in physics, applied mathematics, statistics, computer or computational sciences, or in an engineering field such as biomedical informatics, or a related discipline. Required experience in
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at Genentech (gCS). The group develops and applies state-of-the-art ML/AI models to address open questions in genome biology, with the goal of understanding causal mechanisms of disease and facilitating drug