Assistant Professor of Statistics and Data Science (Fall 2026)
Share
Job Location:
Kirksville, MO - USA
Monthly Salary:
Not Disclosed
Posted on:
09-10-2025
Vacancies:
1 Vacancy
Job Summary
Required Qualifications
Required Qualifications: A doctoral degree (by the start date) in statistics data science analytics or a closely related field with substantial relevant graduate coursework and/or teaching experience in statistics and/or data science Candidates with non-traditional data science training should explain their background in their cover letter. Coursework teaching work or other experience using R Statistical Software
Preferred Qualifications
Preferred Criteria: Candidates will receive preferred consideration who provide: Evidence of strong oral written and interpersonal communication skills; Demonstrated potential for and evidence of excellence in teaching undergraduate courses in statistics and data science and graduate courses in data science and analytical storytelling particularly those focused on data communication; Skill and background with R and other modern data science programming languages such as Python and SQL and analytics tools such as PowerBI and Tableau; Ability to advise and mentor undergraduate and graduate students including supervision of capstone projects masters theses and other research projects; Experience with and interest in cross- and interdisciplinary curriculum opportunities including departmental and campus seminar courses and curricular connections to other disciplines and programs; Evidence of and potential for scholarly activity consistent with the teacher-scholar model where faculty research supports and connects to student learning at a level that would allow appointment to Trumans graduate faculty within the first year of hire; and Desire and ability to support Trumans liberal arts and sciences mission inside and outside of the department including an understanding of the role of analytical storytelling as a component of data science and how statistics and data science students should learn to consider communication ethics and their broader impact on society.
Required Qualifications: A doctoral degree (by the start date) in statistics data science analytics or a closely related field with substantial relevant graduate coursework and/or teaching experience in statistics and/or data science Candidates with non-traditional data science training should explain their background in their cover letter. Coursework teaching work or other experience using R Statistical Software
Preferred Qualifications
Preferred Criteria: Candidates will receive preferred consideration who provide: Evidence of strong oral written and interpersonal communication skills; Demonstrated potential for and evidence of excellence in teaching undergraduate courses in statistics and data science and graduate courses in data science and analytical storytelling particularly those focused on data communication; Skill and background with R and other modern data science programming languages such as Python and SQL and analytics tools such as PowerBI and Tableau; Ability to advise and mentor undergraduate and graduate students including supervision of capstone projects masters theses and other research projects; Experience with and interest in cross- and interdisciplinary curriculum opportunities including departmental and campus seminar courses and curricular connections to other disciplines and programs; Evidence of and potential for scholarly activity consistent with the teacher-scholar model where faculty research supports and connects to student learning at a level that would allow appointment to Trumans graduate faculty within the first year of hire; and Desire and ability to support Trumans liberal arts and sciences mission inside and outside of the department including an understanding of the role of analytical storytelling as a component of data science and how statistics and data science students should learn to consider communication ethics and their broader impact on society.
Key Skills
- Experience Working With Students
- Classroom Experience
- Medical Management
- Library Services
- Pharmacy Residency
- Research Experience
- Teaching
- Higher Education Teaching
- Curriculum Development
- Grant Writing
- Mentoring
- Research Laboratory Experience
