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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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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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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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ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful
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applicant will have an opportunity to work closely with a diverse scientific team that includes microbiologists, immunologists, cell biologists and bioinformaticians. Who You Are: Recent PhD in the field
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presented at external conferences. Who you are: PhD in structural biology, biochemistry, or a related field with one or more first-author publications in leading peer-reviewed journals. A strong background in
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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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. This position offers a unique opportunity to be co-mentored by Dr. Domagoj Vucic from the Immunology Discovery department. Learn more about our mentors: Dr. Modrusan and Dr. Vucic . Project Focus Dive
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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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The Position The Opportunity The Marioni group at Genentech is looking for an exceptional computational postdoc to develop and apply methods in the field of single cell biology. The successful