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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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, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join
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data to join the Departments of Proteomics and Genomics Technologies and Neuroscience at Genentech, Inc. We have in-house cutting-edge technologies including proteomics, lipidomics, NGS, CRISPR screens
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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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ability to thrive in a highly collaborative, interdisciplinary environment. Enthusiastic about leveraging innovative approaches to address big questions in tumor biology/ cancer signaling. Preferred
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computational colleagues to build, train, and evaluate cutting edge AI models using large proprietary oncology datasets Leverage multimodal high dimensional data to investigate relationship between heterogeneous
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streamline and accelerate the development of the projects. Share research through scientific publications, national and international conferences, and internal presentations. Who You Are: PhD graduate in
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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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immunotherapy with graph neural networks trained on spatial single-cell tumor microenvironment (TME) data from non-small cell lung cancer (NSCLC). Using high-dimensional datasets, you will learn bi-directional
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field; or a Ph.D. in (Molecular) Biology or Immunology with in-depth experience in high-throughput data analysis evidenced by publications. ● You have experience with single-cell and multi-omic data