University of Pennsylvania, Quantitative Methods & Applied Data Science Part-time Lecturer
University of Pennsylvania

Philadelphia, Pennsylvania

Job title: University of Pennsylvania, Quantitative Methods & Applied Data Science Part-time Lecturer

The Master of Science in Social Policy Program at the University of Pennsylvania's School of Social Policy & Practice (SP2) seeks experienced part-time lecturers for the following courses, offered in Spring 2022. Spring courses run between January 12-April 27, 2022.

•	MSSP 608: Practical Machine Learning Required expertise: Python
•	MSSP 629: Research & Evaluation Design
•	MSSP 730: Community Mapping Required expertise: ArcGIS
•	MSSP 897: Applied Linear Modeling Required expertise: R

Course descriptions can be found at the following website: Instructors should be available to teach the courses in-person and available to teach morning, afternoon, and/or evening classes. Pay is competitive.

An advanced degree is required, preferably in a relevant social science and policy field with an emphasis on data science and statistical methods. Please provide a cover letter, curriculum vitae, teaching evaluations for two to three courses from prior teaching, and the names and contact information for three references. Due to the volume of applications, only candidates selected for an interview will be contacted. No letters of recommendation are required at this time. Please e-mail application materials in one PDF file titled with your name to Dr. Azahara Palomeque ( and put "MSSP Part time lecturer Application" in the e-mail subject. Application review will continue until December 15, 2021.

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly regarded schools that provide opportunities for undergraduate, graduate, and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

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