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human disease, and developing and applying new computational algorithms to decipher it Enjoy working closely and collaboratively to solve complex biological problems Able to lucidly present complex
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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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computational colleagues to build, train, and evaluate cutting edge AI models using large proprietary oncology datasets Leverage multimodal high dimensional data to investigate relationship between heterogeneous
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genomics and core ML/AI modeling. You will be able to interact and work in partnership with collaborators from very strong human genetics and cellular genomics departments. You will be part of the Genentech
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The Position The Opportunity: We are seeking a highly motivated postdoctoral research fellow to study bacteria-host interactions in Man-Wah Tan’s group in the Infectious Diseases and Host-Microbe
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candidates lacking either skillset will be considered. This position will collaborate extensively with scientists in other departments in particular Computational Sciences, Neuroscience, and Human Genetics
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by identifying “the right drug for the right patient at the right dose”. The candidate will also work with, and be co-mentored by, exceptional scientists in Human Genetics and Computational Sciences
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characterization of membrane protein complexes that mediate inflammatory signaling by using a confluence of structural, biochemical, cell biological and computational tools. The candidate is expected to work
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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