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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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antigens, T cell receptor (TCR) and antigen interactions and their crucial role in anti-cancer immune responses. You'll leverage your strong background in computational biology, machine learning, and
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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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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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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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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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that have the potential to impact human health, for a joint Postdoctoral Fellowship in the Riggi and Murrow labs within the Department of Cellular and Tissue Genomics (CTG) at Genentech. This Postdoctoral
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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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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