10 parallel-computing-numerical-methods-"https:" research jobs at Genentech in United States
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profiling experiments and applies advanced computational methods to derive actionable biological insights. This is a hybrid computational and wet lab based postdoctoral position. The Genentech scientific
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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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. Creating a world where we all have more time with the people we love. That’s what makes us Genentech. Are you a highly passionate computational biologist looking to make a significant impact in cancer
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Immunology Discovery Department, you will join leaders in identifying molecular causes and targets for immune-inflammatory diseases You will be part of the Genentech post-doctoral training program that
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biologists, technologists, and computational scientists. The Opportunity: Drive Groundbreaking Cancer Discovery This is an opportunity to lead innovative research at the intersection of proteomics, genomics
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, in vitro and in vivo models, and AI/ML-supported computational biology. The Opportunity Active areas of research include mechanistic investigation of the impact of disease on key cellular organelles
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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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://www.gene.com/scientists/our-scientists/claudio-ciferri https://pubmed.ncbi.nlm.nih.gov/?term=ciferri+claudio&sort=date https://www.linkedin.com/in/stephaniemmonson/ Postdoc Program Elevate your research career
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at the intersection of artificial intelligence and regulatory genomics, developing and applying state-of-the-art computational methods to critical scientific challenges. The primary focus of this postdoctoral role will
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Clinical Pharmacology, Research Oncology, Biomarker Development and AI/ML peers, publish work not tied to a specific program, and help disseminate findings internally and externally. This is a high-impact