"Full or Part-time Lecturer"

Full or Part-time Lecturer

Location: Philadelphia, PA
Open Date: Nov 24, 2025
Deadline:

The Department of Statistics and Data Science at the Wharton School of the University of Pennsylvania seeks to hire a full-time or part-time lecturer for the 2026-2027 academic year.

All teaching will take place on the University's campus in Philadelphia, PA. The position will start in Fall 2026 with an initial appointment for one year with a possible extension of up to three years based on satisfactory performance. A competitive salary will be provided.

In addition to their teaching role, lecturers will be a welcome part of the Department's research community, including attending department seminars and potentially collaborating with department faculty and doctoral students.

Note that lecturers are not eligible for tenure and do not have voting rights in the department or the school. The position may be renewed based on the needs of the department.

Qualifications
Candidates are expected to have strong knowledge of statistics and data science. Further, as excellence in teaching is the primary criteria for this position, applicants must have outstanding communication skills, along with an interest in teaching statistics students. Applicants must have a degree from an accredited institution; a Ph.D. is preferred.

Application Instructions
To apply you can submit the following materials through our online application system:

• Cover letter
• Curriculum vitae
• Teaching statement
• Teaching evaluations
• Contact information for three references who will automatically receive requests for letters of recommendation.

Any questions can be sent to stat.lecturer.hire@wharton.upenn.edu.

To apply, visit https://apply.interfolio.com/178076

Equal Employment Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.