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Clinical Data Labeling Specialist
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We are seeking an experienced ophthalmologist to contribute to the development of AI tools that can improve eye health and patient care. The successful candidate will have a strong clinical background, excellent communication skills, and the ability to work effectively in a multidisciplinary team.
Key Responsibilities:
- Data Annotation: Review and annotate various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
- Adherence to Protocols: Apply standardized grading protocols consistently for accurate and consistent labeling.
- Quality Control & Feedback: Participate in calibration sessions and reviews to maintain annotation consistency.
- Collaboration: Work with AI engineers and data scientists to ensure the clinical validity of guidelines.
- AI Model Validation: Validate AI model outputs for clinical accuracy and safety.
Essential Qualifications:
- 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.
- Teamwork: Ability to collaborate effectively with a multidisciplinary team.
Benefits: 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.
Equal Opportunity Statement: We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws.
