The SIIM 2023 Salary Survey compiles data from 150+ respondents to provide you with the information needed to make informed decisions for yourself and your career. Find how you compare to other Imaging Informaticists in the United States.  

Data from the 2023 SIIM Salary Survey ranges across national responses, six regional data segmentations, and data on salary through certification.  

Inside the SIIM 2023 Salary Survey

  1. National Insights
    a. Observe how the Imaging Informatics field has changed from 2020.  
  2. Regional Insights
    a. Evaluate salaries and benefits based on regional segmentation.
    b. Discover how you compare to other Imaging Informaticists in your region. 
  3. Certification Insights
    a. Determine ideal salaries and benefits to your experience level.
    b. Fine-tune your compensation strategy with experience specific data. 

Survey Insights Await You

Discover insights from the 2023 SIIM Salary Survey covering national responses, six regional data segments, and certification-based salary data. Explore diverse question types on personal background, individual career, and organization details.  

Data collection was divided into three question types: personal background, individual career, and organization focused questions.  

Personal Background Questions

  1. Educational Background 
  2. Employment Type 
  3. Certifications 
  4. Background 

Individual Career Questions

  1. Job Role 
  2. Years in the Field 
  3. Work Setting 
  4. Travel Requirements 
  5. Pay Range 

Organization Focused

  1. Benefits 
  2. Institution Type 
  3. Institution Sites 
  4. Imaging Exams Performed 
  5. Members in PACS/Imaging Informatics Support Team 

 

Publish Date

Mar 22, 2024

Topic

  • Research

Resource Type

  • Salary Survey

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist
  • Student Member in Training (SMIT)
  • Vendor

Non-Member Cost

$75

Member Cost

$25

Resource

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

Oct 1, 2025

In a groundbreaking collaboration led by the SIIM Machine Learning Education Subcommittee, the American Association of Physicists in Medicine (AAPM), Radiological Society of North America (RSNA), and Society for Imaging Informatics in Medicine (SIIM) are proud to announce the simultaneous co-publication of “Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM” in these three flagship journals: Medical Physics, Radiology: Artificial Intelligence, and the Journal of Imaging Informatics in Medicine (JIIM).

The society-endorsed syllabus outlines critical competencies for four key groups: clinical users, technology purchasers, clinical collaborators, and AI developers. Designed as a flexible framework, it allows institutions to adapt content while ensuring consistent instruction on AI fundamentals, clinical integration, regulatory requirements, and ethical considerations.

Resource

Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
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Sep 9, 2025

Part 1: The Medical AI Background: From Simple Tools to Complex Systems Picture this: you’re a radiologist examining a chest…

Resource

Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 2)

Sep 9, 2025

Part 2: Framework, Regulation & Future Directions Additions Ethical Considerations in Medical AI Deployment The deployment of multi-agent AI systems…