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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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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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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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The Position We advance science so that we all have more time with the people we love. A position is available for a postdoctoral fellow to join the Genentech Computational Sciences (gCS
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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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perturbation technology, AI/ML model development, or advanced molecular biology Experience in single-cell omics, spatial transcriptomics, and/or high-content imaging data analysis Demonstrated record
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: Experience with scRNA-seq and flow cytometry for immune cell profiling. Genome Engineering: Background in using CRISPR for creating disease-relevant cell models. - Data Analysis: Familiarity with
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molecular biology including recent advances in gene editing tools Experience in single-cell omics, spatial transcriptomics and/or high-content imaging data analysis Demonstrated record of innovative
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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