Clinical Image Annotation & Radiology Specialist{AI/ML Experience mandatory}

Remote Full-time
We are looking for a highly skilled professional with deep expertise in radiology and clinical image annotation. This role involves accurately labeling and annotating medical imaging data to support AI/ML model development and validation, ensuring compliance with clinical standards and regulatory requirements.

Key Responsibilities
• Perform precise annotation of medical images (MRI, CT, X-ray, Ultrasound) for AI/ML training datasets.
• Apply standardized labeling protocols and maintain consistency across datasets.
• Validate annotations for accuracy and completeness.
• Interpret imaging studies and provide clinical insights for annotation guidelines.
• Collaborate with data scientists to define clinically relevant features and regions of interest.
• Ensure annotations align with diagnostic standards and clinical workflows.
• Maintain documentation of annotation processes in accordance with Good Clinical Practices (GCP).
• Support audits and regulatory submissions with detailed annotation reports.
• Work closely with AI/ML teams, clinical researchers, and regulatory specialists.
• Provide feedback on annotation tools and workflows for continuous improvement.

Required Qualifications
• MD in Radiology or equivalent clinical imaging certification.
• Strong understanding of imaging modalities (MRI, CT, X-ray, Ultrasound) and DICOM standards.
• Experience in medical image annotation for AI/ML projects.
• Familiarity with GCP and regulatory frameworks (FDA, EMA).

Preferred Skills
• Knowledge of annotation tools (e.g., ITK-SNAP, 3D Slicer, Labelbox).
• Understanding of AI/ML concepts and medical imaging libraries (e.g., MONAI).
• Prior experience in clinical trials or regulated healthcare environments.

Soft Skills
• Attention to detail and accuracy in annotations.
• Strong communication and documentation skills.
• Ability to work collaboratively in cross-functional teams.

Job Type: Contract

Pay: $50.00 - $55.00 per hour

Work Location: Remote

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