Clinical Data Annotation Lead

Intuitive • Sunnyvale, CA

3d • Onsite

About The Position

About This Opportunity: We are seeking a Clinical Data Annotation Lead to oversee all aspects of biopsy and pathology image annotation, from managing distributed annotator teams to ensuring quality, consistency, and scalability of labeled datasets. This role is both strategic and operational: you will design workflows, manage vendors and annotators, collaborate with pathologists, and partner with machine learning scientists to deliver gold-standard annotations at scale. Ability to work in person at our San Carlos, CA office is preferred.

Requirements

• Bachelor’s or Master’s degree in Life Sciences, Biomedical Engineering, Computational Biology, or related field (PhD a plus)
• 3+ years of experience in data operations, clinical data management, or annotation workflows, ideally in medical imaging or pathology
• Proven experience leading and scaling annotation or labeling operations
• Demonstrated success in managing cross-functional teams, vendors, or distributed annotators
• Excellent organizational and project management skills with attention to detail
• Experience with annotation tools/platforms and data labeling standards
• Strong analytical skills and creative mindset
• Works well in a small, agile team

Nice To Haves

• Prior experience in medical imaging annotation, pathology ML, digital pathology
• Familiarity with ML/AI workflows, including supervised learning and dataset curation
• Experience with regulatory frameworks for medical data (FDA, CE, HIPAA)
• Knowledge of multimodal datasets (e.g., imaging + clinical or molecular data)
• Track record of building teams, processes, and infrastructure from the ground up

Responsibilities

• Recruit, train, and manage annotation teams (internal and external) including pathologists and other data annotators
• Develop and optimize scalable annotation pipelines
• Establish rigorous QA/QC processes to ensure annotation accuracy, consistency, and reproducibility across datasets
• Partner with ML scientists to align annotation strategies with model development needs
• Define requirements for annotation platforms, work closely with product/engineering to improve annotation tooling
• Build systems to manage high-volume annotation projects across multiple disease areas and data modalities
• Ensure data handling, labeling, and storage meet regulatory and ethical standards (HIPAA, GDPR, FDA)
• Define long-term strategy for annotation operations, including vendor partnerships, automation opportunities, and multimodal data integration
• Track and report annotation throughput, quality, and efficiency to leadership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees