14 parallel-computing-numerical-methods-"Prof" positions at Genentech in United States
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. Creating a world where we all have more time with the people we love. That’s what makes us Genentech. Are you a highly passionate computational biologist looking to make a significant impact in cancer
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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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The Position A position is available for a postdoctoral fellow to join the Genentech Computational Sciences (gCS) organization, which develops and applies best in class computational methods
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) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This position is based within
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The Position We are seeking a talented and highly motivated Postdoctoral Fellow to become part of our dynamic team in the Computational Sciences Department (gCS) within Genentech's Research
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The Position A Postdoctoral fellow position is available for a highly motivated and independent candidate to join the laboratory of Dr. Sara Mostafavi in the Department of Computational Sciences
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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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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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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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The Position Program Start Date: January - December 2026 (can be flexible within this time frame) Location: South San Francisco Length of Assignment: up to 4 years Education Level: Recent graduates