Location: Hybrid

Type: Part-time

Experience Level: (3+ years professional experience)

About Us

We are developing an AI-powered medical platform that combines a viewer, intelligent image analysis, and automated reporting to assist physicians in diagnosis and workflow. The system integrates directly with PACS, RIS, and AI microservices to streamline workflows.

With strong funding and technical leadership, we’re expanding our medical team to build robust and scalable next-generation medical solutions.

Role Overview

We need radiologists to guide labeling, clinical standards, and validation so the systems are safe and useful.

What you will do

• Define and review clinical requirements (intended use, contraindications, red flags).
• Create/maintain labeling & QA rubrics; support inter-rater agreement.
• Perform annotation audits and clinical sanity checks; escalate edge cases.
• Co-design evaluation protocols (reference standards, reader studies, bias/robustness).
• Review UI/UX for clinician safety and clarity; advise on human-in-the-loop workflows.
• Contribute to post-market style vigilance inputs and risk files (hazards/mitigations).
• Publish with us (company-approved abstracts/papers, de-identified data only).

This is a non-clinical, product-facing role (no patient care via our systems).

You have

• MD/DO/MBBS/MMeD/PhD with residency in Diagnostic Radiology; board‑certified/eligible.
• Strong chest imaging background (X‑ray and/or CT).
• 3+ years independent reading preferred; fellowship in Thoracic Radiology is a plus.
• Experience with structured reporting and radiology QA.
• Comfortable with DICOM viewers and web‑based annotation tools.
• Clear, concise documentation and communication.
• Rigorous approach to data privacy and documentation.

Nice to have

• Prior exposure to datasets, annotation tools, or reader studies.
• Familiarity with RSNA/ACR standards, IRB processes, and privacy compliance.
• Statistics literacy for sensitivity/specificity/AUC and study design.
• Board certifications (e.g., FRCR/EBR/ABR) or academic publications.
• Familiarity with MDR/clinical evaluation concepts or quality systems.

What we offer

• Part-time contractor (~10–20h/week). Competitive arrangement with QA incentives.
• Potential conversion to employment and stock options for high performers.
• Opportunity to co-author publications and shape real-world clinical AI.
• Flexible hours and remote work.
• Opportunity to shape healthcare AI ecosystem.

How to apply

• Use LinkedIn Easy Apply and fill this form https://forms.office.com/r/FWRAgtr3be

This is the right role for someone who loves technical challenges and autonomy, and wants to build something meaningful and impactful in healthcare.

At AI RAZI, we welcome applicants from all backgrounds. If you’re passionate about safe, clinician-grade AI, we’d love to meet you.

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