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Professor of Practice in Data - Tulane University

  • 1.  Professor of Practice in Data - Tulane University

    Posted 10-01-2025 10:07
    Link to full position description and application: https://apply.interfolio.com/172687.
    Applications will be reviewed starting on October 26th (recommended submission date) and will continue to be reviewed as received until December 19, 2025.
    The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University seeks to hire a Professor of Practice in Data, who will teach introductory and multi-disciplinary courses in data literacy, presentation, management, and/or analysis. CAIDS promotes, teaches, and supports data literacy and data science for students, faculty, and the community. CAIDS programming includes courses, workshops, events, student internship and co-curricular experiences, research grants, interdisciplinary research groups, and statistical consulting. For more information on CAIDS, see datainstitute.tulane.edu.
    This position has a teaching load of two courses per semester (i.e., a 2/2). The Professor of Practice will be expected to teach DATA 1010 "Introduction to Data". This course seeks to be accessible to students of all backgrounds and abilities and will teach them fundamental skills in data literacy, analysis, communication, and ethics. The Professor of Practice will also develop and teach one or two multi-disciplinary courses in data analysis, presentation, ethics, or management in their areas of interest or expertise. In addition to teaching, the Professor of Practice will develop and facilitate aspects of CAIDS programming or services around increasing the participation of faculty and students across CAIDS's existing and new programs while upholding CAIDS's mission of being inclusive to all data fields. This position is a permanent (non-tenure) one, with contracts renewed every three or five years. 
    Applicants with experience in STEM, public health, or health sciences fields, especially with a focus on education, particularly in data science and data literacy, are strongly encouraged to apply.


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    Lisa Dilks
    Professor of Practice in Data
    Tulane University
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