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Position: Computational Biology Scientist, Immunology
Institution: Genentech, Inc.
Location: South San Francisco, California, United States
Duties: You will be a part of a dynamic research environment where we aim to translate our understanding of immunology to develop therapies and diagnostics, transforming clinical practice and benefiting patient health; You will be a part of a team with broad computational and experimental expertise that values collaboration and mentorship; You will have access to pre-clinical and clinical samples and datasets; You will have access to state-of-the-art technologies, pioneering research, active seminar series with both internal and external speakers, and opportunities to publish/present externally
Requirements: You have a PhD in Computational Biology, Immunology, Genomics, Genetics, or related fields; You deeply understand the practice, principles, and challenges of statistical analysis and biological interpretation of omics data. You think critically about experimental design and practice reasoned skepticism; You are adept in the use of Python and/or R for statistical analysis, data transformation, and data visualization; You enjoy communicating science to and collaboratively interpreting data with teams with diverse scientific backgrounds
   
Text: Computational Biology Scientist, Immunology You will be a part of a dynamic research environment where we aim to translate our understanding of immunology to develop therapies and diagnostics, transforming clinical practice and benefiting patient health; You will be a part of a team with broad computational and experimental expertise that values collaboration and mentorship; You will have access to pre-clinical and clinical samples and datasets; You will have access to state-of-the-art technologies, pioneering research, active seminar series with both internal and external speakers, and opportunities to publish/present externally You have a PhD in Computational Biology, Immunology, Genomics, Genetics, or related fields; You deeply understand the practice, principles, and challenges of statistical analysis and biological interpretation of omics data. You think critically about experimental design and practice reasoned skepticism; You are adept in the use of Python and/or R for statistical analysis, data transformation, and data visualization; You enjoy communicating science to and collaboratively interpreting data with teams with diverse scientific backgrounds
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