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structural biology to tackle challenging scientific questions. Your responsibilities will include, but are not limited to: Multi-omics analysis of bulk and single-cell sequencing data. Developing deep learning
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The Position We advance science so that we all have more time with the people we love. The Lamba Lab in the Department of Ophthalmology and Immunology (OPTI) at Genentech is seeking a self-motivated
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, Chemistry, Chemical Engineering, Data Science/Bioinformatics, Microbiology, Pharmaceutical Sciences, Pharmacology, Toxicology or other related disciplines. Graduate student applicants should be within 12
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synthetic chemistry and reaction optimization. A working knowledge of molecular biology and/or protein generation. For information about the (lab) at Genentech and publications, please go to: https
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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groups to study cancer biology using deep clinicogenomics data and cutting edge NGS diagnostics. The Opportunity: Opportunity to drive scientific, analytic, and technical innovation in a community of
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relevant field of science. Preferred Majors/Disciplines: Biology, Biochemistry, Biomedical Engineering, Biomedical Science, Cell Biology, Chemistry, Chemical Engineering, Data Science/Bioinformatics
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to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate
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technologies (single cell, CRISPR, spatial) and microscopy are highly desired. Expertise in spatial-omic (Xenium) data analyses and interpretation is highly desired. Experience with new technology development is
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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