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12 hours ago
This role utilizes the clinical expertise of an ophthalmologist to accurately annotate and label medical data, primarily images and structured clinical data related to eye health. The goal is to support the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
Key Responsibilities:- Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
- Standardized Grading Protocols: Applying consistent grading protocols for accurate and consistent labeling.
- Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
- Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
- 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.
- Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
- Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
- Clinical Data Review Experience: Familiarity with medical record documentation.
- Attention to Detail: Commitment to accurate annotation.
- Communication Skills: Excellent communication skills, both written and verbal, in English.
- Teamwork: Ability to collaborate effectively with a multidisciplinary team.
This position offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
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