Assistant Professor, Data Science and Statistics

Lawrence University
  • Appleton, WI
    6 days ago

    Job Description

    Position Details

    Position Information

    Position Title Assistant Professor, Data Science and Statistics Location Appleton Department Mathematics & Computer Science Position Type Faculty Position Description & Qualifications

    Lawrence University of Wisconsin, a selective undergraduate liberal arts college and conservatory of music located in Appleton, Wisconsin invites applications for a tenure-track Assistant Professor of Data Science and Statistics to begin September 1, 2027.

    We seek candidates who will contribute to our growing program, which includes a new Data Science and Statistics major. Candidates must have a Ph.D. in statistics, biostatistics, data science, or a closely related field prior to the time of appointment (9/1/2027); ABD is acceptable for selection. Candidates should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, and expect to participate in Lawrence's flagship First Year Studies program on rotation. The First Year Studies curriculum presents an interdisciplinary introduction to the liberal arts intended to support new students' fundamental skills as readers, writers, and thinkers.

    Primary duties include: teaching two undergraduate courses in each of Lawrence's three ten-week terms, grading, advising and mentoring students; conducting research; leading occasional tutorials, supervising independent study projects and internships; assisting in curricular planning; and related departmental and institutional service. The successful candidate will be the third statistics and data science faculty member in the Department of Mathematics, Statistics, and Computer Science. Additional information about our curriculum and faculty can be found at https://www.lawrence.edu/academics/college/data-science-and-statistics.

    Candidates should submit the following: (1) a cover letter describing their interest in this position, (2) a curriculum vitae, (3) a statement of teaching explaining their pedagogical methods and teaching experiences, (4) a statement describing their scholarly activities, interests, and future plans, (5) names and email addresses for three references who can be contacted for letters of recommendation at a later stage in the process (at least one of whom can attest specifically to teaching).

    In their teaching statement, candidates are encouraged to discuss their experiences and ideas for teaching courses involving data analysis and computational tools. Candidates should also discuss how they will foster an inclusive and supportive learning environment for all students. In their scholarship statement, candidates are encouraged to discuss their experiences or ideas for incorporating undergraduate students in their research.

    Candidates are encouraged to read more about Lawrence at https://lawrence.peopleadmin.com as well as www.lawrence.edu and Colleges That Change Lives.

    We will begin reviewing applications on October 2, 2026. For further information, please contact Andrew Sage, the chair of the search committee (sagea@lawrence.edu).

    Posting Detail Information

    Posting Number S642P Number of Vacancies 1 Posting Date Best Consideration Date Close Date Open Until Filled Special Instructions Summary Anticipated Number of Hours per Week 40

    Supplemental Questions

    Required fields are indicated with an asterisk (*).

      • How did you hear about this employment opportunity?
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    Documents Needed to Apply

    Required Documents

    • Cover Letter
    • Graduate School Transcripts
    • Curriculum Vitae
    • Statement on Teaching
    • List of References
    • Statement on Scholarship

    Optional Documents

    Numbers & Facts

    LocationAppleton, WI

    Skills

    • Biostatisticsunmatched
    • College Level Facultyunmatched
    • Computer Scienceunmatched
    • Data Analysisunmatched
    • Data Scienceunmatched
    • Mathematicsunmatched
    • Mentoringunmatched
    • Musicunmatched
    • Research Skillsunmatched
    • Scholarshipunmatched
    • Statisticsunmatched
    • Training/Teachingunmatched
    • Training/Teaching Curriculumunmatched
    • Writing Skillsunmatched

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