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# Part-time Faculty, B.S. Computer Science

- **Company:** Northcentral University
- **Location:** San Diego, CA, United States
- **Salary:** $55,390 - $60,091
- **Contract:** Permanent contract
- **Skills:** Elearning, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/part-time-faculty-b-s-computer-science-san-diego-ca--a7655e47-b3c0-4bf0-b97e-460cf8309ff2

## About the Role

Part-time Faculty, B.S. Computer Science, Computer Science, Computer Science, Nonprofit, Scholarship, Training/Teaching, Time Management, Student Services, Risk Analysis, Online Training, Compensation and Benefits, Required:

 * Master's degree in Computer Science or a closely related field.
 * Must reside in and be legally authorized to work in the United States.

Preferred:

 * PhD in computer science or related area.
 * Industry experience.
 * Teaching or training experience.

## Description

The Department of Engineering, Data, and Computer Sciences, in the College of Business, Engineering and Technology at the National University invites applications for part-time faculty with a specialization in Computer Science. The successful candidate will have a demonstrated record of, or potential for excellence in, the following: teaching in their field, a commitment to serving the university's diverse adult student body, and related scholarship and/or research. This position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.

Essential Job Duties:

 * Provide substantive, timely feedback to students on various assessment activities.
 * Maintain a positive, safe, inclusive student-centric learning environment.
 * Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
 * Maintain appropriate professional training and/or scholarly activities, when applicable.
 * Provide feedback to the course lead regarding the course content.
 * Identify at-risk students and collaborate with student services.
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