
Eye Health Specialist
5 days ago
This role involves leveraging clinical expertise to accurately annotate and label medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
Responsibilities:
- Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
- Applying standardized grading protocols consistently for accurate and consistent labeling.
- Participating in calibration sessions and reviews to maintain annotation consistency.
- Collaborating with AI engineers and data scientists to ensure the clinical validity of guidelines.
- Validating AI model outputs for clinical accuracy and safety.
- Creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
- Ensuring compliance with patient privacy and data security policies.
Qualifications:
- Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
- In-depth understanding of various eye conditions.
- Experience in clinical data review and familiarity with medical record documentation.
- Commitment to accurate annotation and excellent communication skills in English.
- Ability to collaborate effectively with a multidisciplinary team.
This opportunity enables professionals to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
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