University of California-Berkeley
Lecturer Pool - Master of Computational Social Science - ISSP - College of Lette
University of California-Berkeley, Berkeley, California, United States, 94709
Position overview
Salary range:
The UC academic salary scales set the minimum pay at appointment. 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 and application window Open date:
September 21, 2025
Next review date:
Monday, Oct 6, 2025 at 11:59pm (Pacific Time). Apply by this date to ensure full consideration by the committee.
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.
DUTIES OF THE POSITION:
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 website, 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
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:
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. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment.
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. Letters of reference may be treated as confidential per UC policy.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements. 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. Misconduct refers to violations of policies or laws governing conduct at the applicant’s previous place of employment, including harassment or discrimination as defined by the employer. See UC Sexual Violence and Sexual Harassment Policy, UC Anti-Discrimination Policy, and APM - 035.
Job location Berkeley, CA
#J-18808-Ljbffr
The UC academic salary scales set the minimum pay at appointment. 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 and application window Open date:
September 21, 2025
Next review date:
Monday, Oct 6, 2025 at 11:59pm (Pacific Time). Apply by this date to ensure full consideration by the committee.
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.
DUTIES OF THE POSITION:
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 website, 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
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:
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. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment.
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. Letters of reference may be treated as confidential per UC policy.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements. 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. Misconduct refers to violations of policies or laws governing conduct at the applicant’s previous place of employment, including harassment or discrimination as defined by the employer. See UC Sexual Violence and Sexual Harassment Policy, UC Anti-Discrimination Policy, and APM - 035.
Job location Berkeley, CA
#J-18808-Ljbffr