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Musculoskeletal Radiologist

Job in Seattle, King County, Washington, 98127, USA
Listing for: iMerit Inc.
Full Time position
Listed on 2026-10-06
Job specializations:
  • Doctor/Physician
    Medical Doctor, Radiologist, Healthcare Consultant
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Job Title:

MSK Radiologist (MD/DNB) Medical AI Annotation Company Overview:

iMerit is a global leader in data and AI services. Its Medical Division partners with leading healthcare and life sciences organizations to develop high-quality data for AI and advanced medical technologies.

Job Summary:

We are seeking an experienced Musculoskeletal (MSK) Radiologist (MD/DNB) with strong expertise in MSK imaging of various anatomical regions and CT interpretation to support medical image annotation and clinical quality assurance for AI-based healthcare solutions. The role involves reviewing de-identified shoulder CT datasets, annotating (landmarks, segmentation) relevant anatomical structures and landmarks, and ensuring clinical accuracy and consistency of the resulting data.

Key Responsibilities:

Review and annotate 3D shoulder CT images using medical imaging tools.

Identify anatomical structures and clinically relevant landmarks.

Perform annotations (landmark + segmentation) as per clinical guidelines.

Review annotations for accuracy and consistency across 2D and 3D views.

Handle challenging cases such as degenerative changes, deformities, artifacts, and prior hardware.

Support annotation QA, adjudication, and guideline refinement.

Collaborate with clinical, annotation, and AI teams while maintaining patient confidentiality.

Qualifications:

MD / DNB in Radiology; MSK fellowship/specialization preferred.

3+ years of radiology experience with strong MSK imaging exposure.

Strong expertise in CT and 3D anatomy.

Experience with medical imaging research, AI annotation, or tools such as 3D Slicer is a plus.

Strong attention to detail and clinical judgment.

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