
Eye Health Specialist
6 days ago
This role requires a skilled Ophthalmologist 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.
The successful candidate will have extensive clinical knowledge and experience in clinical data review. They will be responsible for reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
The ideal candidate will have excellent communication skills, both written and verbal, in English, and be able to collaborate effectively with a multidisciplinary team.
Requirements- Data Annotation: Reviewing and annotating ophthalmic data like fundus images, OCT scans, and other visual data.
- Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
- Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
- Clinical Expertise: In-depth understanding of various eye conditions and ability to identify anatomical structures and disease markers.
- Ophthalmologist (MBBS): With at least 1-2 years of clinical experience.
- Communication Skills: Excellent written and verbal communication skills in English.
- Teamwork: Ability to collaborate effectively with a multidisciplinary team.
This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
We are committed to creating a diverse and inclusive workplace and value diversity as an essential part of our culture. We prohibit discrimination based on various factors outlined by federal, state, or local laws.
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