Ophthalmologist (Medical Data Labeling Specialist)

Ophthalmologist (Medical Data Labeling Specialist)

Location: India, Remote

Duration: Ongoing Part-Time

About BigRio

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.

About Job:

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.

Responsibilities

Key responsibilities include:

• 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.
• 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.
• 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.
• Privacy and Security: Ensuring compliance with patient privacy and data security policies, like HIPAA.

Qualifications

Essential qualifications typically include:

• 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.

Required skills often include:

• 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.

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.