
Eye Care Specialist
5 hours ago
Opportunity Overview
We are seeking an ophthalmologist with clinical expertise to accurately annotate and label medical data for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
This role will leverage your clinical knowledge to review and annotate various ophthalmic data, including fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
Key Responsibilities:
- Data Annotation: Reviewing and annotating ophthalmic data for accurate and consistent labeling.
- Adherence to Protocols: Applying standardized grading protocols consistently.
- Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
- Collaboration: Working with AI engineers and data scientists to ensure clinical validity of guidelines.
- AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
- Patient Education Material Development: Creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
- Privacy and Security: Ensuring compliance with patient privacy and data security policies.
Requirements:
- Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
- Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
- Experience in Clinical Data Review: Familiarity with medical record documentation.
- Attention to Detail: Commitment to accurate annotation.
- Communication Skills: Excellent communication skills, both written and verbal.
- Teamwork: Ability to collaborate effectively with a multidisciplinary team.
What We Offer:
This is an opportunity to contribute your expertise to the development of innovative AI and ML models in ophthalmology. If you have a passion for clinical data annotation and a commitment to quality, we encourage you to apply.
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