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Academic Instructor Pool

2 months ago


San Francisco, California, United States InsideHigherEd Full time


Academic Instructor Pool - Master of Computational Social Science - Interdisciplinary Social Sciences Program

Position Overview
Salary Range: The academic salary scales set the minimum compensation at appointment. A reasonable full-time salary range for this role is $83,935-$186,446. Starting salary will be aligned with the highest degree, previous college-level teaching experience, relevant industry background, and equity within the department.

Percent Time: 11% - 100%

Anticipated Start: Positions may commence at various times throughout the academic year. Applicants are considered for roles as needs arise; the existence of this pool does not guarantee that a position is available.

Review Timeline: Applications are typically reviewed periodically throughout the year based on course needs.

Position Duration: Depending on instructional assignments, instructors may be appointed for a limited duration, including summer sessions, a semester, or the academic year. These roles are temporary appointments with no assurance of reappointment at the end of the term.

Application Window
Open Date: Applications are accepted continuously.

Position Description

The Interdisciplinary Social Sciences Program (ISSP) manages the interdisciplinary majors, minors, and graduate programs within the Social Sciences Division.

Housed within ISSP, the Master of Computational Social Science (MaCSS) is a new professional master's program designed to equip students with essential skills for analyzing, interpreting, and visualizing social data. Social data encompasses information about individuals, groups, organizations, and their interactions sourced from various platforms such as surveys, company databases, and social media. Graduates of the MaCSS program will be prepared to work as analysts and data specialists across diverse sectors including business, non-profit, and government.

Duties of the Position: Instructors will be responsible for 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, grading assignments, advising students, preparing course materials (e.g., syllabus), writing examinations, engaging with students outside of class, and managing teaching assistants.

Qualifications
Basic Qualifications: A Bachelor's Degree or equivalent international degree is required at the time of application.

Preferred Qualifications:
  • Prior teaching and/or work experience in computational social science, data science, computing, data analytics, or related fields.
  • 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
  • Statement on Contributions to Advancing Diversity, Equity, and Inclusion - A brief statement detailing your contributions to diversity, equity, and inclusion, including your understanding of these topics, your past activities, and your specific plans and goals for advancing equity and inclusion if hired.


Reference Requirements:
  • 3 required (contact information only)
About the Institution:

The institution is committed to fostering diversity, equity, inclusion, and belonging. The excellence of the academic community relies on an environment where all faculty, students, and staff feel welcomed and included. Successful candidates will demonstrate knowledge and skills related to ensuring equity and inclusion in their academic roles.

The institution is an Equal Opportunity/Affirmative Action 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.

As a university employee, compliance with all applicable policies and collective bargaining agreements is required.