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Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer architectures, and interpretable AI methods and libraries, concept-bottleneck architectures
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Computational Biology, Bioinformatics, Computer Science, Machine Learning, or related field with focus on genomics or regulatory biology Demonstrated proficiency in Python and machine learning frameworks (e.g
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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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Rock and Muller Lab, please visit https://www.gene.com/scientists/our-scientists/jason-rock https://www.gene.com/scientists/our-scientists/soren-muller Postdoc Program Elevate your research career to new
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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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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