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Asynchronous Professor Jobs in Ohio (NOW HIRING)

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Asynchronous Professor information

What is the difference between Asynchronous Professor vs Synchronous Professor?

AspectAsynchronous ProfessorSynchronous Professor
CredentialsMaster's or Doctorate in relevant fieldMaster's or Doctorate in relevant field
Work EnvironmentOnline, flexible schedule, asynchronous learning platformsOnline or in-person, scheduled live sessions
Employer & IndustryUniversities, online education providersUniversities, colleges, online education providers
Search & Comparison IntentFocus on flexible, self-paced teaching rolesFocus on real-time, scheduled teaching roles

In summary, an Asynchronous Professor primarily teaches through pre-recorded lectures and flexible schedules, while a Synchronous Professor conducts live, scheduled classes. Both roles require similar credentials but differ in delivery method and work environment.

What cities in Ohio are hiring for Asynchronous Professor jobs?

Cities in Ohio with the most Asynchronous Professor job openings:

Infographic showing various Asynchronous Professor job openings in Ohio as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Assistant Professor, Data Science

The Chronicle Of Higher Education, Inc.

Rootstown, OH • On-site

$70 - $110/hr

Other

Posted yesterday

New


Job description

Assistant Professor, Data Science

Position Type: Faculty

Department: Office of Graduate Education

Full or Part Time: Full Time

Pay Grade: 2

Summary

Full-time non-tenure-track appointment at the assistant professor rank in Artificial Intelligence, Computer Science, Data Science, Statistics, Biostatistics, or a closely related field, with primary curricular and teaching responsibilities within the College of Graduate Studies (COGS) and providing statistical consulting services to faculty engaged in health professions research within the Clinical and Translational Research Institute (CTRI). This role will primarily support a new asynchronous online Master of Science program in Health Data Science and Artificial Intelligence.

Principal Functional Responsibilities
  • Teaching and Service: Participate in graduate student education based on areas of expertise, contributing to direct teaching needs. Evaluating the success of teaching contributions may be based on student achievement, student evaluations, course/module director evaluations, and peer evaluations. Ongoing success in teaching activities is essential to maintaining a faculty appointment. Active participation on college and university committees will be required and assigned. In addition, membership and participation in state and national professional organizations is strongly encouraged. Evaluating the success of service obligations will be based on level of participation and engagement in support of related activities.
  • Research: Participate in scholarly activities and/or research focus areas as appropriate. Seek extramural funding opportunities, write and submit proposals, conduct collaborative scholarly inquiry. Maintain extramural funding and productivity, generate a percentage of base salary through extramural support. Publish quality papers. Serve on journal editorial board and peer-review committees. Evaluating the success of this research obligation will be based on efforts toward publication and grant success.
  • Other Duties: Perform other duties as assigned.
Qualifications
  • Ph.D. in Artificial Intelligence, Computer Science, Data Science, Statistics, Biostatistics, or a closely related field.
  • Demonstrated experience in teaching AI, machine/deep learning, or statistical methods, preferably in an online setting.
  • Understanding of AI applications for health professions disciplines.
  • Experience with relevant programming languages (e.g., Python, R).
  • Background in statistical consulting and data analysis.
  • Minimum of three years of experience in undergraduate, graduate, or medical student teaching.
Preferred Qualifications
  • Knowledge of healthcare data sources, electronic health records (EHR), or clinical trial data.
  • Familiarity with AI ethics and regulatory considerations in health professions.
  • Teaching Experience and Expertise: Experienced educator with experience in curriculum and course development and implementation. Contribute to the teaching and research missions of the department. Interested in educational innovation and up to date on contemporary educational approaches. Openness to new educational approaches.
  • Research and Scholarship: Track record of research/scholarship. Able to contribute to the research/scholarship mission of the department and able to mentor students, fellows, and faculty as appropriate.
  • Collaborative: Can work collaboratively with administrators, faculty, staff, and students at the college and the university.
  • Humanistic Environment: Committed to building a humanistic culture/climate within the college and to fostering student success.
Physical Requirements

Must be able to utilize a phone, computer and other office equipment.

Department Specific Information

To apply, visit https://neomed.peopleadmin.com/postings/5354

Equal Employment Opportunity Statement

NEOMED is committed to providing equal employment opportunities to qualified applicants without discrimination on the basis of age, color, disability, gender identity or expression, genetic information, national origin, race, religion, sex, sexual orientation, transgender status, status as a parent during pregnancy and immediately after the birth of a child, status as a parent of a young child, status as a foster parent, veteran status or any other category protected by applicable state or federal law. As an Equal Opportunity Employer, NEOMED also affirms its commitment to nondiscrimination in its employment policies and practices. In compliance with Title IX (20 U.S.C Sec. 1681 et seq.), NEOMED prohibits sex discrimination, including sexual harassment.

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