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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
the campus, including the McDonnell Genome Institute, Institute for Informatics, and Siteman Cancer Center. Information on being a postdoc at Washington University in St. Louis can be found at https
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researchers is provided through the Career Center, Teaching Center, Office of Postdoctoral Affairs, and campus groups. More information on being a postdoc at Washington University in St. Louis can be found
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/benefits/ EEO/AA Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from
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years with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ EEO/AA Statement Washington University in St. Louis is committed to the principles and
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at [email protected]. Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/. Environment: The medical physics division currently
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background in Quantitative Statistics. Experience on RNA-seq analyses (STAR, Salmon, DESEq2, DCC) and machine learning. Working knowledge of UNIX, Perl/Python, R, and Docker. Analytical reasoning and problem
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each day. Good computer skills (e.g., knowledge or potential to learn SPSS, R, Qualtrics, Excel, Powerpoint). Strong customer service skills for interacting with community participants. Required
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/benefits/ EEO/AA Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from
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after seven years with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ EEO/AA Statement Washington University in St. Louis is committed to the principles