
Eye Health Medical Data Specialist
5 days ago
Medical Data Labeling Specialist
This position involves applying clinical expertise to annotate and label medical data for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
We are seeking an experienced Ophthalmologist with a strong understanding of various eye conditions and experience in clinical data review to join our team. The ideal candidate will have a solid background in anatomy, physiology, and pathology, as well as excellent communication skills and attention to detail.
Responsibilities:- Data Annotation: Reviewing and annotating ophthalmic data such as fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
- 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.
- Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
- Patient Education Material Development: Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
- 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, in English.
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 value diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.
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