Single cell analysis of tumor samples; Studies of resistance to existing and emerging cancer therapies using patient-derived data; Studies of patient samples for tumor behavior and clinical outcomes; Studies of cancer immunotherapies to develop predictors of response; studies related to germline risk of cancer and inherited predictors of response to therapy
Requirements:
A B.S. or M.S. in bioinformatics, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications; A strong background in statistics and biology and/or cancer biology; Experience in managing and curating large datasets and with machine learning techniques desired; Experience in R and/or Python is preferred
Text:
Associate Computational Biologist Single cell analysis of tumor samples; Studies of resistance to existing and emerging cancer therapies using patient-derived data; Studies of patient samples for tumor behavior and clinical outcomes; Studies of cancer immunotherapies to develop predictors of response; studies related to germline risk of cancer and inherited predictors of response to therapy A B.S. or M.S. in bioinformatics, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications; A strong background in statistics and biology and/or cancer biology; Experience in managing and curating large datasets and with machine learning techniques desired; Experience in R and/or Python is preferred
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