Radiology Specialist (Contract)

mpathic; United States; Remote; USD 138.000 - 276.000; Teilzeit

Zusammenfassung

mpathic.ai is seeking experienced radiologists to evaluate next-gen multimodal AI systems in radiology. You will design tasks evaluating how models interpret images, reports, and clinical instructions, crafting expert prompts and rubrics to judge diagnostic accuracy, safety, and adherence to instructions.

You will collaborate with leading AI researchers, participate in onboarding and calibration, and help identify edge cases across imaging modalities to improve benchmark quality.

Qualifikationen

• MD/DO or internationally equivalent medical degree.
• Completion of an accredited Diagnostic Radiology residency.
• Current board certification in Diagnostic Radiology.
• Active, unrestricted medical license with no suspensions or ongoing disciplinary actions.
• At least 3 years of independent clinical practice after residency.

Aufgaben

• Design clinically realistic evaluation tasks using radiology images, reports, and clinical documentation.
• Create expert-level prompts that assess visual document understanding and radiology workflows.
• Evaluate AI-generated responses using rubrics for diagnostic accuracy, completeness, safety, and adherence to instructions.
• Identify challenging edge cases and model failure modes across imaging modalities.
• Provide detailed written feedback to improve model performance and benchmark quality.
• Collaborate with research teams to advance multimodal healthcare AI.
• Participate in onboarding, calibration sessions, and quality reviews.

Kenntnisse

Radiology experience

Independent clinical practice

Active medical license

Ausbildung

MD/DO or internationally equivalent medical degree

Completed Diagnostic Radiology residency

Board certification in Diagnostic Radiology

Jobbeschreibung

About mpathic.ai

mpathic is keeping humans safe in the AI era through automated tools and expert datasets that are rooted in psychology and powered by clinicians.

We are a series A start-up backed by Tier 1 investors including Foundry.vc and Next Frontier Capital.

If you have applied for an expert role within the past 12 months, you do not need to reapply.

About the role

We're seeking experienced radiologists to help evaluate the next generation of multimodal AI systems by assessing how they interpret medical images, radiology reports, and complex clinical instructions.

This benchmark dataset project focuses on evaluating AI models for visual document understanding and instruction-following in the radiology domain. You'll develop challenging, clinically realistic evaluation tasks, create expert reference answers, and identify where today's AI systems succeed—and where they fall short.

What You'll Do

• Design clinically realistic evaluation tasks using radiology images, reports, and supporting clinical documentation.
• Create expert-level prompts that assess visual document understanding, diagnostic reasoning, and instruction-following across radiology workflows.
• Evaluate AI-generated responses using structured rubrics for diagnostic accuracy, completeness, safety, and adherence to instructions.
• Identify challenging edge cases, subtle imaging findings, and common model failure modes across multiple imaging modalities.
• Provide detailed written feedback that helps improve model performance and benchmark quality.
• Collaborate directly with research teams at a leading AI lab to advance multimodal healthcare AI.
• Participate in onboarding, calibration sessions, and ongoing quality reviews.

Qualifications

• MD, DO, or internationally equivalent medical degree.
• Completion of an accredited Diagnostic Radiology residency (ACGME, AOA, or recognized international equivalent).
• Current board certification in Diagnostic Radiology (ABR, FRCPC, FRANZCR, or recognized national equivalent).
• Current, active, unrestricted medical license with no suspension, revocation, or ongoing disciplinary action.
• At least 3 years of independent clinical practice following residency (training years excluded), currently practicing or having practiced within the past two years.
• Experience practicing in an accredited or government-licensed healthcare setting, including hospitals, academic medical centers, outpatient imaging centers, or private practice.

Nice to have

• Currently providing at least 10 hours of direct clinical interpretation per week.
• Fellowship training or significant clinical expertise in a radiology subspecialty, including:
  • Neuroradiology
  • Musculoskeletal Radiology
  • Body Imaging
  • Breast Imaging
  • Cardiothoracic Radiology
  • Pediatric Radiology
  • Interventional Radiology
  • Emergency Radiology
• Experience interpreting multimodal imaging studies, including CT, MRI, ultrasound, mammography, nuclear medicine, and plain radiography.
• Experience reviewing AI-assisted imaging tools or participating in imaging AI research is a plus.
• Passion for advancing trustworthy AI in healthcare.

Compensation

This is a contract, project-based position. The hourly rate will depend on experience and project parameters. The rate will be disclosed prior to starting the project.