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Adjunct Instructor Intro to Programming

Job in City of Elmira, New York, USA
Listing for: Elmira College
Part Time position
Listed on 2026-01-12
Job specializations:
  • Education / Teaching
    University Professor, Computer Science
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Adjunct Instructor for Intro to Programming
Location: City of Elmira

Adjunct Instructor for Intro to Programming

Elmira College is a private liberal arts college located in the Finger Lakes region of New York. Elmira College was the first college to offer a comprehensive curriculum for women, and is home of the Center for Mark Twain Studies.

Elmira College seeks an outstanding individual to serve in the Mathematics and Natural Sciences Division in a part-time adjunct position. The ideal candidate will hold a minimum of a master’s degree and have work experience in a STEM field or teaching experience in a STEM discipline. Experience with computer programming is required.

Current needs for the Winter 2026 term are for one section of CSC 1050 Introduction to Programming
, a first course in computer programming. The programming language usually taught in this course is Python. This course is a foundational course in the Data Analytics Minor and the Adolescent

Education:

Earth and Environmental Science Major, as well as an elective in the Environmental Science Major and Environmental Science Minor at Elmira College.

Winter 2026 classes begin on January 5, 2026.

COMPENSATION
: $900 per credit

This position is non-benefit eligible.

TO APPLY: Interested candidates should submit:

  • a cover letter,
  • resume/CV, and
  • the names of three references

to Math Search.

Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or take over sponsorship of employment visas at this time.

Final date to receive applications
:
December 15, 2025

Elmira College is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, sex, national origin, ancestry, political affiliation, sexual orientation, gender identity or expression, marital status, disability and genetic information, age, membership in an employee organization or other non-merit factors.

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