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access to state-of-the-art analytics and a robust cross-functional scientific community. The Opportunity: You will be part of the Genentech post-doctoral training program that provides an outstanding
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within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record of innovative scientific
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-throughput functional screens, and computational biology. They will deploy single cell genomics and spatial transcriptomics approaches to uncover new tumor-TME communication patterns, deploy therapeutic
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discoveries. Who You Are: Ph.D. with a proven track record of excellence in Computer Science and Machine Learning, with substantial domain experience in biology and genomics. Must have advanced at least one key
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perturbation methods to address basic research questions and facilitate drug discovery. Goals for this position include the development and application of novel experimental and computational tools for spatial
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to the most relevant scientific problems across all stages of the pipeline. This position will be a joint mentorship between the departments of Computational Biology and Human Genetics to study the genetic
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology and co-mentored by the Frey Lab in Prescient Design (Machine Learning for Drug Discovery). The postdoctoral position is focused
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mammalian cell culture is preferred. Experience with or strong interest in learning computational structural biology approaches or cryo-ET is a plus. For information about the Deshpande Lab at Genentech
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states spanning Neuroscience and Immunology. This position will collaborate extensively with scientists in other departments in particular Computational Sciences, Neuroscience, Regenerative Medicine and
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of microbiology, immunology, innate immunity, mammalian cell biology or microbe-host interactions Direct experience in applying basic laboratory techniques relating to the above disciplines Experience with