Lecturer Pool - Master of Computational Social Science - ISSP - College of Letters & Science

Overview Lecturer Pool - Master of Computational Social Science - ISSP - College of Letters & Science 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: 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. Open date: September 21, 2025 Most recent review date: Monday, Oct 6, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Sunday, Sep 20, 2026 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. Responsibilities Teaching one or more of the following courses: Introduction to Computing; Introduction to Applied Statistics; Advanced Computing; Applied Statistics; 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, 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: 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 Existing authorization to work in the U.S. Application Requirements Document requirements Resume or Curriculum Vitae - Your most recently updated resume or C.V. Cover Letter Reference Requirements 3 required (contact information only) Apply link: Help contact: View email address on click.appcast.io 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. Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee. 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. Misconduct means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer. UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy APM - 035: Affirmative Action and Nondiscrimination in Employment Job location: Berkeley, CA To apply, visit: Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-340244d33642d2448b95f47bc836fa4c #J-18808-Ljbffr Inside Higher Ed