11 parallel-processing-bioinformatics-"https:" Fellowship research jobs at Genentech in United States
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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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of quantitative, experimental, and clinical scientists. ● Present complex results clearly and concisely to diverse audiences. Who You Are ● You have a Ph.D. in Computational Biology, Bioinformatics, or a related
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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
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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
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Disruptions in Post-Transcriptional Regulatory Processes: Analyze how alterations in RNA processing, stability, and translation contribute to cellular dysfunction and disease pathogenesis using mechanistic
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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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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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maintain the end-to-end computational stack (data processing, model training/inference, simulation, visualization) using reproducible practices (Git version control, automated tests/CI); work closely with