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We welcome applications from radiologists across all diagnostic subspecialties, with particular demand for fellowship-trained Musculoskeletal and Neuroradiology experts. This role focuses on evaluating the ability of large language models to answer advanced, real-world MSK and neuroradiology cases. You will design expert-level diagnostic and reasoning challenges that current models struggle to answer and provide authoritative, gold-standard solutions.
You’re a good fit if you:
MD or DO from an accredited medical school
Completion of an ACGME-accredited Diagnostic Radiology residency
Completion of a radiology fellowship (any subspecialty)
Board-certified or board-eligible in Diagnostic Radiology
2+ years of post-training clinical experience
Exceptional attention to detail
Strong written and verbal communication skills
Strongly Preferred
Fellowship training in Musculoskeletal Radiology and/or Neuroradiology
Primary clinical practice focused on MSK or neuro imaging
Academic or teaching experience (residents, fellows, conferences)
Experience creating case-based assessments, exam questions, or rubrics
Background in complex MRI interpretation or subspecialty-heavy workflows
Here are more details about the role:
Develop gold-standard answers with clear diagnostic reasoning
Emphasize edge cases, nuanced differentials, and multimodal reasoning, particularly in MSK and neuroradiology
Collaborate directly with research teams at a leading AI lab
Provide feedback on common failure modes in model reasoning
Screening Process:
You will complete a short interview (approximately 20–30 minutes total)
The interview will explore your clinical background and subspecialty expertise
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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