Home › Companies › DEB43C3FD051B594AA4F4829C8587DC3 › Adjunct Instructor of Quantitative Methods and Statistics
Adjunct Instructor of Quantitative Methods and Statistics
DEB43C3FD051B594AA4F4829C8587DC3 · Cumberland University - Lebanon, TN 37087; One Cumberland Square, Lebanon, TN, 37087, USA · On Site · Active · Paycom ATS
Job facts
| Field | Value |
|---|---|
| Company | DEB43C3FD051B594AA4F4829C8587DC3 |
| Title | Adjunct Instructor of Quantitative Methods and Statistics |
| Normalized title | - |
| Department / team | Education |
| Location | Lebanon, TN, United States |
| Work model | On Site |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Paycom ATS |
| Posted / first seen | 2024-11-01 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
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| Page | What it contains | Open |
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| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Paycom ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Lebanon. | Open |
| Department jobs | Active postings in Education. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | DEB43C3FD051B594AA4F4829C8587DC3 |
| Source | 9f1b3843-c0e9-4638-938a-cd90ee9baa35 |
| ATS provider | Paycom ATS |
Description
Description
Adjunct Instructor of Quantitative Methods and Statistics
Position Purpose:
Cumberland University seeks applications for adjunct instructors in Quantitative Methods and Statistics. Duties will include teaching courses in quantitative and
statistics courses at the graduate and undergraduate level.
Qualifications
Knowledge, Skills and Abilities:
Excellent communication, teaching, and presentation skills are required.
Must be able to use university systems for email communications and to electronically enter attendance, midterm grades, and final grades. Training will be provided.
Demonstrated inter- and intrapersonal skills, especially in engaging with traditional and non-traditional university students.
Evidence of high level of personal agency and initiative.
Demonstrated organizational skills.
Successful use of multiple creative instructional strategies and technologies in the classroom and online to improve educational outcomes of diverse learners.
Experience:
Previous university teaching online and in-person preferred.
Education:
PhD or comparable degree required for teaching master’s level course; Master’s Degree required for undergraduate (minimum of 18 graduate semester hours in
Statistics/Quantitative methods)
Additional Information:
Available for Fall, Spring, and Summer semesters online and on site at the main campus in Lebanon, TN.
Application Requirements:
An electronic version of your cover letter, curriculum vitae, philosophy of teaching, unofficial graduate transcripts, and 5 references is required.
Full job record
| Job ID | b1bc1f25db59be6a46d4d4902eeb45c7248ee60a |
| Org ID | 7a6dc486-481f-4781-b62e-fa3a36acce94 |
| Source ID | 9f1b3843-c0e9-4638-938a-cd90ee9baa35 |
| Board ID | 9f1b3843-c0e9-4638-938a-cd90ee9baa35 |
| Provider | paycom |
| Provider Job Key | 120402 |
| Title | Adjunct Instructor of Quantitative Methods and Statistics |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Cumberland University - Lebanon, TN 37087; One Cumberland Square, Lebanon, TN, 37087, USA |
| Department | Education |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | TN |
| City | Lebanon |
| Salary Raw | Description Adjunct Instructor of Quantitative Methods and Statistics Position Purpose: Cumberland University seeks applications for adjunct instructors in Quantitative Methods and Statistics. Duties will include teaching courses in quantitative and statistics courses at the graduate and undergraduate level. Qualifications Knowledge, Skills and Abilities: Excellent communication, teaching, and presentation skills are required. Must be able to use university systems for email communications and to electronically enter attendance, midterm grades, and final grades. Training will be provided. Demonstrated inter- and intrapersonal skills, especially in engaging with traditional and non-traditional university students. Evidence of high level of personal agency and initiative. Demonstrated organizational skills. Successful use of multiple creative instructional strategies and technologies in the classroom and online to improve educational outcomes of diverse learners. Experience: Previous university teaching online and in-person preferred. Education: PhD or comparable degree required for teaching master’s level course; Master’s Degree required for undergraduate (minimum of 18 graduate semester hours in Statistics/Quantitative methods) Additional Information: Available for Fall, Spring, and Summer semesters online and on site at the main campus in Lebanon, TN. Application Requirements: An electronic version of your cover letter, curriculum vitae, philosophy of teaching, unofficial graduate transcripts, and 5 references is required. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=120402&clientkey=DEB43C3FD051B594AA4F4829C8587DC3 |
| Apply URL | https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=120402&clientkey=DEB43C3FD051B594AA4F4829C8587DC3 |
| First Seen At | 2026-05-31 19:06:25Z |
| Last Seen At | 2026-06-06 09:53:06Z |
| Last Checked At | 2026-06-06 09:53:06Z |
| Last Changed At | 2026-05-31 19:06:25Z |
| Inactive At | — |
| Source Posted At | 2024-11-01 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=paycom/board=DEB43C3FD051B594AA4F4829C8587DC3/date=2026-06-06/2026-06-06T09-53-03-789Z-31cc82603cb341a15e5d01fa3f5ea630cb398ec47139db9d2f29ad74c7d3a7df.json |
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