Lecturer Pool - Master of Computational Social Science - ISSP - College of Letters & Science
The University of California, Berkeley
About this position
Position Overview
Salary range: The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: Salary Scale A reasonable full-time salary range for this position is $101,198 to $199,722. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department. Percent time: 11-100% Anticipated start: Spring semester, Jan 1 Review timeline: Applications are typically reviewed in the fall for spring course needs. Position duration: One semester.
Application Deadline
Open date: October 2, 2026 Next review date:Sunday, Oct 18, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Saturday, Oct 2, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position Description
The Interdisciplinary Social Sciences Program (ISSP) is the administrative unit that oversees the interdisciplinary majors, minors and graduate programs within the Social Sciences Division of the College of Letters and Sciences at UC Berkeley. Housed in ISSP, the Master of Computational Social Science (MaCSS) is a new one-year professional master's program that will provide students with practical skills for analyzing, interpreting, and visualizing social data. Social data are data about people, groups, organizations, and their interactions from surveys and censuses, company websites, store loyalty cards, cell-phone records, social media posts, internet searches, etc. MaCSS graduates will be able to work as analysts and data specialists in business, non-profit, and government settings. DUTIES OF THE POSITION: Teaching one or more of the following courses: • Introduction to Computing; • Introduction to Applied Statistics; • Computing I; • Applied Statistics I; • Computing II; • Applied Statistics II; • Ethics, Data, & Society; • Special topics in Computational Social Science; • Career Development; • Capstone Project In addition to teaching responsibilities, general duties may include holding office hours, assigning grades, preparing course materials (e.g. syllabus), writing exams, interacting with students outside of class time via email and/or a course web site, and managing teaching assistants. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position. Unit: https://macss.berkeley.edu/
Qualifications
Basic qualifications(required at time of application)A Bachelor's Degree or equivalent international degree is required at time of application. Preferred qualifications-Prior teaching and/or work experience in computational social science, data science, computing, data analytics, or human resources -Industry knowledge of data analytics and trends -Leadership, management, and entrepreneurial skills
Application Requirements
Document requirementsCurriculum Vitae - Your most recently updated C.V. Cover Letter Reference requirements 3 required (contact information only) Apply link:https://aprecruit.berkeley.edu/JPF05577 Help contact:araya@berkeley.edu