
Contribute to Eye Health through Data Annotation
1 week ago
Eye Health Data Specialist
We are seeking a skilled Ophthalmologist to contribute to the development of artificial intelligence (AI) and machine learning (ML) models in ophthalmology. This role leverages clinical expertise to accurately annotate and label medical data, primarily images and structured clinical data related to eye health.
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.
- Applying standardized grading protocols consistently for accurate and consistent labeling.
- 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.
- Validating AI model outputs for clinical accuracy and safety.
- Patient Education Material Development (potential): Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
- Ensuring compliance with patient privacy and data security policies, such as HIPAA.
Qualifications:
- Board-certified Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
- In-depth understanding of various eye conditions.
- Familiarity with medical record documentation.
- Attention to detail and commitment to accurate annotation.
- Excellent communication skills, both written and verbal, in English.
- Ability to collaborate effectively with a multidisciplinary team.
Required Skills:
- Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies
- Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.
- Problem Solving: Ability to identify challenges and recommend solutions.
- Adaptability: Ability to adapt to varying image resolutions and file formats.
Why Join Us?
- 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 inclusivity in our workplace, striving to create an environment where all employees feel welcome and empowered to contribute their best work.
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