Lecturer Pool - Master of Computational Social Science - ISSP - College of Letters & Science
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![]() United States, California, Berkeley | |
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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: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf 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 Window Open date: September 21, 2025 Next review date: Monday, Oct 6, 2025 at 11:59pm (Pacific Time) Final date: Sunday, Sep 20, 2026 at 11:59pm (Pacific Time) 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: In addition to teaching responsibilities, general duties may include holding office hours, assigning grades, advising students, 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. 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 Application Requirements Document requirements
Reference requirements
Apply link: https://aprecruit.berkeley.edu/JPF05101 Help contact: araya@berkeley.edu About UC Berkeley UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy. In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
Job location Berkeley, CA
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