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of bioinformatics/computational biology, or a related field. Fully master R and Python (be proficient in Python Data Stack tools such as NymPY, SciPY, Pandas, scikit) and have solid Unix/Linux experience and
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consists of 3 PhD students and 4 postdocs and has a strong track-record working on human NK cells in tissues (Sci Immunol 2021, 2020, Sci Trans Med 2021 x2). The group works closely together with clinical
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Python/Pandas skills. Experience interfacing databases and R scripting will be an advantage but not required. Familiarity with methods for computational modeling of metabolism, including constraint-based
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learning frameworks such as SKLearn, AutoML is a plus Experience with vectors, matrix, dataframe libraries such as Numpy, Pandas is a plus Expertise on best practices for data governance, curation