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Part Time Medical Image Analysis Jobs (NOW HIRING)

Revere Health

Medical Assistant - Part Time

Gunnison, UT · On-site

$16.25 - $20.75/hr

Part-Time Medical Assistant Essential Job Functions:This is a great opportunity to work in a ... Successful candidate must maintain a professional image in the office and in all communications.

Revere Health

Medical Assistant - Part Time

Gunnison, UT · On-site

$16.25 - $20.75/hr

Position Summary: Part-Time Medical Assistant Essential Job Functions: This is a great opportunity ... Successful candidate must maintain a professional image in the office and in all communications.

NYULMC

Assistant Research Scientist

New York, NY · On-site

For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed ... Conduct quantitative image analysis and statistical evaluation of imaging biomarkers, including ...

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Part Time Medical Image Analysis information

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$15

$37

$57

How much do part time medical image analysis jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for part time medical image analysis in the United States is $37.30, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $46.39 per hour, depending on experience, location, and employer.

What is the difference between Part Time Medical Image Analysis vs Part Time Medical Imaging Technician?

AspectPart Time Medical Image AnalysisPart Time Medical Imaging Technician
CredentialsTypically requires a degree in radiologic technology, medical imaging, or related field; certifications like ARRT are commonRequires certification in radiologic technology; may need specific state licenses
Work EnvironmentPrimarily involves analyzing medical images in clinical or diagnostic settings, often in offices or labsOperates imaging equipment like MRI, CT, or X-ray machines in hospitals or clinics
Employer & Industry UsageUsed by hospitals, diagnostic labs, and imaging centers for image interpretationEmployed by hospitals, clinics, and imaging centers to perform imaging procedures

While both roles involve medical imaging, Part Time Medical Image Analysis focuses on interpreting images, whereas Part Time Medical Imaging Technicians operate imaging equipment. The roles often overlap in healthcare settings but differ in responsibilities and required credentials.

What are the most commonly searched types of Medical Image Analysis jobs? The most popular types of Medical Image Analysis jobs are:
What job categories do people searching Part Time Medical Image Analysis jobs look for? The top searched job categories for Part Time Medical Image Analysis jobs are:
Part Time Medical Image Analysis jobs near you
Infographic showing various Part Time Medical Image Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $77,580 per year, or $37.3 per hour.
Research Technologist 2

Research Technologist 2

Northwestern University

Evanston, IL • On-site

$11/hr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Northwestern University rating

7.8

Company rating: 7.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

182nd of 555 rated colleges and universities

Job description

Department: MED-Radiation Oncology
Salary/Grade: NEX/11
Target hiring range for this position will be between $50,000 - $58,000 per year or per hour. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.
Location: Northwestern University, Feinberg School of Medicine
Lab Focus: Artificial Intelligence, Machine Learning, and Computational Automation in Radiation Oncology and Clinical Translation
About Our Lab: Our dynamic, interdisciplinary laboratory at Northwestern University is at the forefront of integrating artificial intelligence (AI) and machine learning (ML) to revolutionize clinical workflows. We are building state-of-the-art computational infrastructure to automate and personalize care in radiation oncology, with research that has direct, impactful applications across multiple clinical domains. We aim to translate algorithmic innovations into tools that improve patient outcomes.
Position Overview: We are seeking a motivated and skilled Research Technologist II to join our team. This is a mentored position ideal for someone with a strong computational background who is eager to contribute to high-impact, translational AI/ML research. You will work directly with senior researchers and clinicians to develop, validate, and deploy deep learning models, playing a critical role in our mission to bridge the gap between cutting-edge AI research and clinical practice.
Our Recent Research
  • Bin Lou*, Semihcan Doken*, et al. An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction. Lancet Digital Health . 2019.
  • PT Teo. et al. Deterministic small - scale undulations of image - based risk predictions from the deep learning of lung tumors in motion. Medical Physics. 2022 .
  • James Randall, et al. Image-based deep neural network for individualizing radiotherapy dose is transportable across health systems . JCO Clinical Cancer Informatics. 2023.
  • Sagnik Sarkar. et al. Deep learning for automated, motion-resolved tumor segmentation in radiotherapy. NPJ Precision Oncology . 2025.
Key Responsibilities:
  • Develop, train, and validate deep learning models (e.g., CNNs, vision transformers) for medical image analysis, including segmentation, outcome prediction, and motion compensation.
  • Assist in building and maintaining automated computational pipelines for large-scale medical image and data processing.
  • Collaborate on research projects leading to publications in high-impact journals and presentations at national conferences.
  • Contribute to the lab's computational infrastructure and data management systems.
  • Participate in the analysis and interpretation of complex multimodal clinical datasets.
Desired Skill Sets & Qualifications:
  • Required: Master's degree in Computer Science, Biomedical Engineering, Data Science, Physics, or a related quantitative field.
  • Required: Demonstrated experience in Python programming and proficiency with deep learning frameworks (PyTorch or TensorFlow).
  • Strongly Preferred: Experience with medical imaging data (DICOM, NIfTI) and libraries (ITK, SimpleITK, MONAI).
  • Strongly Preferred: Familiarity with high-performance computing (HPC) clusters, cloud computing (AWS/GCP/Azure), and containerization (Docker/Singularity).
  • Excellent problem-solving skills, analytical abilities, and a passion for translational research.
  • Ability to work both independently and collaboratively in a fast-paced team environment.
Benefits
At Northwestern, we are proud to provide meaningful and competitive benefits. The available benefits package for this position will include health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre-tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available benefits, including eligibility details, visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.
Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.
Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more
Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement . Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process .

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