Clinical Data Specialist, AI for Robotic Surgery

Intuitive Surgical, Inc.; Sunnyvale (CA); On-site; USD 88,000 - 141,000; Full time

Benefits offered by this job

Health insurance

Job summary

Intuitive Surgical, Inc. is seeking a Clinical Data Specialist to support the development and validation of AI and ML technologies for robotic-assisted surgery.

You will create, review, and maintain high-quality clinical ground truth datasets from surgical videos, images, and related clinical information, ensuring accuracy, traceability, and documentation. The role involves collaborating with ML engineers, surgeons, clinical experts, and data operations teams to translate clinical requirements

Qualifications

• Bachelor's degree in biology or related field.
• Strong understanding of human anatomy.
• Experience interpreting medical images or surgical data.
• Ability to learn annotation platforms and data-management tools.
• Attention to detail and documentation discipline.

Responsibilities

• Review annotations for accuracy and consistency.
• Document ambiguity and data-quality risks.
• Participate in annotation training and calibration.
• Maintain guidelines, decisions, and dataset changes.
• Collaborate with engineers and clinicians to translate data needs.
• Support ML research and product-development datasets.
• Conduct literature review and procedural analysis.

Skills

Anatomy knowledge

Documentation skills

Analytical skills

Communication skills

Independent worker

Cross-functional collaboration

Education

Bachelor's degree in life sciences

Tools

Annotation platforms

Data-management systems

Project-tracking tools

Job description

Intuitive Surgical, Inc. is seeking a Clinical Data Specialist to support the development and validation of AI and ML technologies for robotic-assisted surgery.

You will create, review, and maintain high-quality clinical ground truth datasets from surgical videos, images, and related clinical information, ensuring accuracy, traceability, and documentation. The role involves collaborating with ML engineers, surgeons, clinical experts, and data operations teams to translate clinical requirements