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Part-Time Instructor, Data Science, Fall

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: PeopleAdmin, Inc.
Full Time, Part Time position
Listed on 2026-09-26
Job specializations:
  • Education / Teaching
    Data Scientist, University Professor, Academic, College Lecturer
  • IT/Tech
    Data Scientist
Job Description & How to Apply Below

Part-Time Instructor, Data Science, Fall 2025

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.

Please see Special Instructions for more details.

The email address listed on the application will be used for all communication.

A syllabus for a course previously taught by the applicant should be included and uploaded under “Other Documents.”

One professional reference required. List of two professional references highly preferred.

Position Information

Recruitment/Posting Title Part-Time Instructor, Data Science, Fall 2025

Department SASN
-Math & Computer Science

Salary Details A minimum of $2,777 per credit

Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:

  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits
  • Life insurance coverage
  • Employee discounts programs

Course appointments may require instruction during the day, in the evenings, on weekends, off-campus, online, hybrid, remotely, or any combination of these, based on the academic needs of the department.

Qualifications

Master’s degree in data science, economics, philosophy, psychology, or other data-driven fields required. Ph.D. strongly preferred.

Experience teaching data wrangling and analysis methods preferred. Interest in teaching classes on ethical issues in data science and machine learning a must. Excellent communication and interpersonal skills a must.

Position Status

Part Time

Posting Number 25FA0534

Posting Open Date 05/16/2025

Posting Close Date

Statement

The School of Arts and Sciences-Newark (SASN) is a place where exploration, discovery, and imagination come together to form the core of a liberal arts education. We serve all undergraduates at Rutgers University-Newark (RU-N); and offer a broad selection of more than 2,000 undergraduate and graduate courses a year in more than 40 subjects. SASN combines the best of a large research university with a small liberal arts college.

RU-N is a remarkably diverse, urban, public research university that is not just in Newark but of Newark - an anchor of our home city.

Affirmative Action/Equal Employment Opportunity Statement

It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay,…

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