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The Assistant Professor of Biomedical Data Science will spend 62.5% of their time (i) effectively teaching computer science, bioinformatics, data science, and biomedical data science courses, (ii) advising and mentoring School of Applied Computational Sciences (SACS) students, and (iii) developing instructional methods that will reflect best practices in pedagogy. The successful candidate will also spend 27.5% of their time demonstrating evidence of or potential for health disparities research utilizing data science techniques, and 10% of their time on institutional service, demonstrating the ability to work collaboratively with on-campus and off-campus colleagues and constituencies.
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