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reverse translation. ● Design and analyze multi-omic experiments, with a primary focus on understanding COPD disease biology from preclinical models and patient samples. ● Identify and integrate relevant
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laboratory experiments Working knowledge of biochemical techniques is a plus. For information about the Vucic lab at Genentech, please go to: https://www.gene.com/scientists/our-scientists/domagoj-vucic https
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teams. To learn more about the Lill Lab, please visit: https://www.gene.com/scientists/our-scientists/jennie-lill To learn more about the Dey Lab, please visit https://www.gene.com/scientists/our
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collaborative and multidisciplinary environment. Previous experience with proteomics is not required. To learn more about the Ori Lab, please see link below: https://www.gene.com/scientists/our-scientists
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Genetic Variations: Investigate the molecular mechanisms underlying genetic variations, elucidating how these variants influence gene regulation and contribute to health and disease states Design of Non
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of bioinformatics and computational analysis. To learn more about the Dey Lab, please visit the link below: https://www.gene.com/scientists/our-scientists/anwesha-dey The expected salary range for this position based
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clinico-genomic/response data, design training over baseline, on-treatment and post-treatment time points, and model treatment effects with both mechanistic and data-driven components. You will work with
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Jhunjhunwala Lab at Genentech, please go to: https://www.gene.com/scientists/our-scientists/suchit-jhunjhunwala Relevant publications: Thrift, W. J. et al. Graph-pMHC: graph neural network approach to MHC class