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Medical Imaging Machine Learning Faculty Jobs (NOW HIRING)

Cscc

Adjunct - Medical Imaging

Columbus, OH · On-site

$55.88/hr

The Adjunct - Medical Imaging position provides quality instruction and maintains a positive ... learning, student effort, academic challenge, student and faculty interaction, and support for ...

Cscc

Instructor - Medical Imaging

Columbus, OH · On-site

$54K/yr

The relationship of the faculty member to the student is one of leader, teacher, adviser, mentor, and facilitator of learning. This position is intended to be in medical imaging instruction.

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Medical Imaging Machine Learning Faculty information

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How much do medical imaging machine learning faculty jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for medical imaging machine learning faculty in the United States is $32.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $39.42 per hour, depending on experience, location, and employer.

What is a medical imaging machine learning faculty?

Medical Imaging Machine Learning Faculty are academic professionals who teach, conduct research, and contribute to the advancement of machine learning techniques applied to medical imaging. They typically work in universities or research institutions, mentoring students and collaborating on interdisciplinary projects involving radiology, computer science, and healthcare. Their responsibilities include publishing research, securing grants, and developing innovative machine learning algorithms to improve diagnosis and treatment using medical images. These faculty members play a critical role in bridging the gap between artificial intelligence and clinical practice.

What are the key skills and qualifications needed to thrive as a medical imaging machine learning faculty?

To thrive as a Medical Imaging Machine Learning Faculty, you need a strong background in machine learning, computer vision, medical imaging, and a doctoral degree in a relevant field such as computer science, biomedical engineering, or a related discipline. Expertise with programming languages (like Python), deep learning frameworks (such as TensorFlow or PyTorch), and experience with medical imaging datasets and analysis tools are typically required. Excellent communication, collaboration, and mentoring abilities are crucial for teaching, research, and fostering interdisciplinary partnerships. These skills ensure effective research output, high-quality instruction, and innovation in advancing medical imaging technologies.

What are some common challenges faced by medical imaging machine learning faculty in balancing research, teaching, and clinical collaboration responsibilities?

Medical Imaging Machine Learning Faculty often juggle multiple responsibilities, including leading research projects, teaching graduate or undergraduate courses, and collaborating with clinical teams. A common challenge is effectively managing time between these areas, as each requires significant dedication and expertise. Balancing the fast-paced advancements in machine learning with the rigorous demands of academic publishing and curriculum development can also be demanding. Success in this role often depends on strong organizational skills, effective communication with multidisciplinary teams, and the ability to prioritize tasks to meet both academic and clinical goals.

What is the difference between Medical Imaging Machine Learning Faculty vs Medical Imaging Technologist?

AspectMedical Imaging Machine Learning FacultyMedical Imaging Technologist
CredentialsAdvanced degrees (PhD, Master's) in machine learning, medical imaging, or related fieldsAssociate's or Bachelor's degree in radiologic technology or related field
Work EnvironmentAcademic institutions, research labs, universitiesHospitals, clinics, imaging centers
Industry UsageResearch, teaching, development of new imaging algorithmsPerforming imaging procedures, patient positioning, image acquisition
Search & Comparison IntentResearch, academic careers, specialized roles in medical imaging AIClinical practice, patient care, imaging operations

Medical Imaging Machine Learning Faculty focus on research, teaching, and developing AI algorithms in medical imaging within academic or research settings. In contrast, Medical Imaging Technologists perform hands-on imaging procedures in clinical environments. While both roles involve medical imaging, their credentials, work environments, and job functions differ significantly.

What are popular job titles related to Medical Imaging Machine Learning Faculty jobs?

For Medical Imaging Machine Learning Faculty jobs, the most frequently searched job titles are:

Infographic showing various Medical Imaging Machine Learning Faculty job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $67,420 per year, or $32.4 per hour.

Instructor of Medical Imaging

Klamath Falls, OR • On-site

Oregon Tech
Colleges, Universities, and Professional Schools • 201 - 500 employees
Learn more about Oregon Techexternal

Full-time

Re-posted 6 days ago

Key responsibilities

  • Teach core courses in one of the medical imaging modalities based on certification and experience.

  • Advise students, assess and improve courses, and adjust content to reflect current workforce trends.

  • Participate in service activities for the department, institution, profession, and community.

Oregon Institute Of Technology rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

83rd of 633 rated colleges and universities

Job description

Posting Details
Position Details
Position Type
Non Tenure
Working Title
Instructor of Medical Imaging
Classification Title
Instructor
College/Division
College of Health, Arts & Sciences (HAS)
Department
Medical Imaging Technology
Hiring Unit
Work Location
Klamath Falls
Appointment FTE (%)
1.0 FTE
Position Terms/Mo
9 month
Full/Part time
Full Time
Annual Salary
60,000 - 70,000
Position Summary
Department Summary
The Department of Medical Imaging Technology (MIT) offers bachelor's degrees in five professional programs which encompass the spectrum of imaging sciences. The curriculum of each bachelor's degree program provides the technical, scientific, and communication skills essential for the application of learned concepts. Each program prepares students for their final eleven-month clinical externship at one of the many affiliated healthcare facilities across the nation, maximizing the application of learning in the classroom to their field of study.
For additional information regarding the MIT Department, please visit: https://www.oit.edu/academics/health-arts-sciences/medical-imaging-technology
Position Summary
The Medical Imaging Technology (MIT) department at Oregon Institute of Technology (Oregon Tech) seeks applicants for an instructor which is a career track, full-time, nine-month position.
Oregon Tech is a public university located in Klamath Falls, Oregon. Klamath Falls is located in the foothills of the Cascade Mountains in southern Oregon and is known as Oregon's City of Sunshine. It is widely recognized for its remarkable mountain and lake scenery, including Crater Lake National Park and year-round outdoor recreation opportunities. Klamath Falls is a small but vibrant town rich with arts and culture, downtown eateries, and craft breweries.
The MIT department offers a Bachelor of Science degree in five modalities: Diagnostic Medical Sonography, Echocardiography, Nuclear Medicine, Radiologic Science, and Vascular Technology. The Diagnostic Medical Sonography, Echocardiography and Vascular Technology modalities are CAAHEP accredited. All modalities emphasize student-centered instruction oriented towards professional success. Facilities provide state-of-the-art imaging equipment, labs, simulators, and the latest technology to prepare learners to be leaders in the field. The medical imaging faculty are an amazing team and part of a tradition of excellence at Oregon Tech.
The MIT department has faculty openings in four modalities. The Radiologic Science program seeks applicants with registries in CT, MRI and/or Interventional radiography. The Nuclear Medicine program seeks applicants holding certification in Nuclear Medicine from the ARRT or NMTCB. The Diagnostic Medical Sonography program seeks applicants with registries in breast, musculoskeletal, pediatrics and fetal echo. The Echocardiography program seeks applicants with registries in adult and pediatric echo.
The primary focus of all faculty positions in the MIT department is on excellent teaching at the bachelor's level. The successful candidate's instructional responsibilities will include a variety of core courses in one of the modalities depending upon certification/credentials, and experience. Faculty are expected to advise students, improve courses through continuous assessment, and adjust content to reflect current workforce trends.
Faculty are expected to pursue professional development to stay current in the discipline and enhance instructional practices. Faculty will participate in service activities for the institution (department and university levels), profession, and community.
We are pleased to offer competitive incentives to the successful candidate upon hire. Additional information will be provided to the selected candidate.
REQUIREMENTS
The position requires a master's degree in medical imaging, higher education, or related field with a bachelor's degree in a medical imaging modality. *Applicants hired without a master's degree will be expected to earn a master's degree within a time determined at hire. Applicants should have current certification/credentials and five years of related occupational work experience. Applicants should indicate modality preferred based upon certification/credentials, and experience in their cover letter.
Minimum Requirements
Additional Requirements
  • Bachelor's degree in a Medical Imaging modality or in a related field with an Associates degree or certificate in a Medical Imaging modality; Applicants hired without a master's degree will be expected to earn a master's degree within a time determined at hire.
  • Current Certification/Credentials
  • Minimum of five (5) years of related occupational work experience.
  • Indicate modality preferred, based upon certifications/credentials in cover letter.

Preferred Qualifications
  • Master's degree in Medical Imaging, Higher Education, or related field with a Bachelor's degree in a Medical Imaging modality.
  • Recent teaching experience at the college level and/or in industry training experience.
  • Certified in multiple modalities or certifications.

Application Information
Recruitment Type
External
Application Screening Begins
05/19/2026
Job Posting Close Date
Special Instructions to Applicant
The initial review of applications will begin May 19, 2026. Applications will continue to be accepted after the initial review date until a sufficient applicant pool has been achieved or the position is filled. Therefore, at the discretion of the University, materials received after the initial review date may not receive full consideration.
To apply, upload the following elements to your application:
Required Documents
  1. Cover Letter
  2. Transcripts (Unofficial)
  3. Curriculum Vitae
  4. Teaching Philosophy
  5. Professional References List

Optional Documents
  1. Resume
  2. Letter of Recommendation
  3. License/Certification
  4. Other Document

For additional information, please contact the Office of Human Resources: oithr@oit.edu
Background/Pre-Employment Check
Any offer of employment to a successful candidate will be conditioned upon the University's receipt of a satisfactory background check, motor vehicle check, physical abilities check, and/or any other conditions of employment contained in the vacancy announcement.
AA/EEO Statement
Oregon Tech is an Affirmative Action/Equal Opportunity Educator and Employer. The University does not discriminate in access to its educational programs and activities, or with respect to hiring, or the terms and conditions of employment, on the basis of age, color, disability, marital status, national origin, race, religion or creed, sex or gender, gender identity or gender expression, sexual orientation, veteran status, or any other basis in law.
Oregon Tech is committed to providing access and reasonable accommodation in its services, programs, activities, education and employment for individuals with disabilities. To request disability accommodation in the application process, contact the Office of Human Resource at 541-885-1028 or oithr@oit.edu.

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