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Part-Time Faculty: JNL Foundations of Data and Data Journalism; Fall

Remote / Online - Candidates ideally in
City of Syracuse, Syracuse, Onondaga County, New York, 13201, USA
Listing for: Syracuse University
Part Time, Remote/Work from Home position
Listed on 2026-07-16
Job specializations:
  • Education / Teaching
    College Lecturer, University Professor, Academic
Salary/Wage Range or Industry Benchmark: 1483 - 1596 USD Weekly USD 1483.00 1596.00 WEEK
Job Description & How to Apply Below
Position: Part-Time Faculty: JNL 221: Foundations of Data and Data Journalism (Fall 2026)
Location: City of Syracuse

Part‑Time Faculty: JNL 221:
Foundations of Data and Data Journalism (Fall 2026)

Job Title Part‑Time Faculty: JNL 221:
Foundations of Data and Data Journalism (Fall 2026)

Location

Campus

Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in‑person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus.

Remote work arrangements are limited in accordance with University policy.

Pay Range $1,483.20 - $1,596.50 per credit hour

Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience, where applicable. Faculty pay ranges are for 8.5 months’ salary unless otherwise specified.

FLSA Status Exempt

As determined by department/chair. Office hours required.

Job Type Part‑time

Rank PTI/Adjunct

Unionized Position Code UA

Job Description

The S.I. Newhouse School of Public Communications in Syracuse University is looking for an individual to teach JNL 221 Foundations of Data and Digital Journalism on Monday/Wednesday 3:45-5:05 during the Fall 2026 semester (3 credits).

Course Description

In this skills‑based course, students survey digital best practices in data journalism, web presentation, and data visualization. Students will study the basic functions and integral properties of data analysis, HTML / CSS , and data visualization/presentation.

Responsibilities

It is understood that teaching assignments may include the following:

  • Developing a syllabus.
  • Ordering books and materials for students in the class to purchase on or before the first day of classes in advance.
  • Preparing for classes.
  • Holding office hours each week to meet with students in the class and others.
  • Grading in a timely manner student assignments and examinations for the course; and turning in mid‑semester progress reports and final grades according to University regulations.
Qualifications

Job Specific Qualifications

  • Instructors are also expected to make themselves available for students needing outside‑of‑class assistance and to provide feedback and grades in a timely manner.
  • Some knowledge of HTML and CSS is helpful but not required.
Physical Requirements
  • Ability to instruct the class on the days and times it is designated to meet.
  • Ability to hold office hours on campus.
  • Ability to grade all assignments and examinations.
Tools/Equipment
  • Ability to operate standard classroom instructional technology, which may include computer, projector, document camera, etc.
Application Instructions

In addition to completing an online application, please attach a curriculum vitae and cover letter.

EEO Statement

Syracuse University is an equal‑opportunity institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities.

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