US ABR Board-Certified, MQSA-qualified Radiologist — Mammo & DBT Annotation (Reader) (FJI00427)

United States . Remote

Project summary

Medcase is looking for U.S.-based, ABR-certified, fellowship-trained Breast Imaging Radiologists with 5+ years of experience to participate in a remote mammography annotation project supporting the development and regulatory evaluation of an AI algorithm for breast cancer detection.

Radiologists will review 2D mammography, synthesized 2D, and digital breast tomosynthesis (DBT) studies to help create a high-quality, clinically reliable reference-standard dataset.

Project details

Location: United States | Fully remote and asynchronous
Platform: RedBrick AI
Sample Phase: Approximately 1–3 studies, independently annotated by both radiologists.
Estimated Time per Study: Approximately 1 hour for studies with findings; 5–10 minutes for normal studies.
Sample Commitment: Approximately 2.5 hours, including up to 30 minutes of training.
Sample Deadline: November 6, 2026.
Potential Full Project: Up to approximately 10,000 studies overall, subject to client approval.
Production Timeline and Workload: To be confirmed following sample evaluation. Production annotations are expected to take less time per case, with work potentially distributed in batches.

Responsibilities

Review mammography studies to identify benign and malignant breast findings.
Localize findings using contours and/or bounding boxes.
Characterize findings and assign study-level labels using the ACR BI-RADS lexicon.
Independently complete assigned annotations following standardized protocols.
Escalate uncertain findings, technical issues, or protocol questions.
Support quality assurance through corrections or re-annotations when requested.

Requirements

U.S.-based, ABR-certified Breast Imaging Radiologist.
Completed Breast Imaging fellowship.
MQSA-qualified interpreting physician.
Minimum 5 years of post-residency radiology experience.
Strong experience in screening and diagnostic mammography, including DBT.
Comprehensive knowledge of the ACR BI-RADS lexicon.
Ability to work independently and follow structured annotation protocols.

Apply Now to contribute your clinical expertise to an innovative AI initiative advancing breast cancer detection.

Interested in this role? Use Apply now above or email recruiting@medcase.health with questions. Our team will follow up with more information.

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Designed for Practising Clinicians

Medcase engagements are built to complement active clinical practice—not replace it.

Project-based participation aligned with your specialty
Compensation for professional medical expertise
Flexible involvement without long-term commitments
Secure, compliant environments (HIPAA, GDPR)

Held to Clinical Standards

Not every contribution is equal in healthcare—and we treat it that way.

Credential verification and specialty matching
Structured review and calibration processes
Ongoing quality oversight by medical and project leads
Clear clinical and ethical guidelines

How Clinicians Contribute

Clinicians participate where medical judgment matters most in AI development.

Reviewing and validating medical data and model outputs
Providing expert clinical interpretation across modalities (text, imaging, video, waveform, audio)
Supporting clinician-led data annotation and enrichment
Advising on clinical accuracy, relevance, and edge cases
Contributing specialty-specific insight across regulated use cases

Professional Contribution, Fairly Compensated

Clinicians are compensated for their time and professional expertise.

Compensation details are shared transparently during the application and onboarding process
Participation is designed to fit alongside active clinical roles

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