Ophthalmologist (Medical Data Labeling Specialist)

13 hours ago

India BigRio Full time
Ophthalmologist (Medical Data Labeling Specialist) Location: India, Remote

Duration: Ongoing Part-Time

BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.

This role leverages the clinical expertise of an 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.

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.

Quality Control & Feedback: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.

AI Model Validation: 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, like HIPAA.

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.

Excellent communication skills, both written and verbal, in English.

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.

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 and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws.

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