Clinical Data Specialist

• Ways of Working:
  Onsite - This job is fully onsite.
• Employee Type:
  Employee
• Min. Salary Region 1: 104500 USD
• Global Job Level (HCM):
  Professional 2 (7)
• Min. Salary Region 2: 88800 USD

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic-assisted surgery and minimally invasive care
, our technologies—like the da Vinci surgical system and Ion
—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare
, you’ll find your purpose here.

Primary Function:

We are seeking a highly motivated Clinical Data Specialist to support the development and validation of artificial intelligence and machine learning technologies for robotic-assisted surgery.

The Clinical Data Specialist will create, review, and maintain high-quality clinical ground truth datasets derived from surgical videos, images, and associated clinical information. This role operates at the intersection of clinical knowledge, data operations, and product development, helping translate clinical and technical requirements into accurate, consistent, and traceable datasets.

The successful candidate will perform clinical annotation and quality review, investigate annotation discrepancies, maintain dataset and methodology documentation, and support the preparation of datasets used for machine learning research, product development, and verification and validation activities.

This individual will collaborate closely with machine learning engineers, researchers, surgeons, clinical experts, quality and regulatory partners, data operations teams, and external annotation providers. The ideal candidate combines strong knowledge of anatomy and surgical workflows with exceptional attention to detail, documentation discipline, and sound judgment when working with complex or ambiguous clinical data.

Responsibilities:

• Review annotations produced by human annotators, clinical experts, external providers, and AI/ML models to ensure accuracy and consistency.
• Identify, document, and elevate ambiguous cases, annotation discrepancies, and data-quality risks for clinical review or adjudication.
• Participate in annotation training, calibration, qualification, and inter-annotator agreement activities.
• Maintain annotation guidelines, quality criteria, review decisions, dataset changes, and other supporting documentation.
• Support traceability between source data, annotation versions, quality reviews, adjudication decisions, and approved dataset outputs.
• Collaborate with engineers, researchers, surgeons, clinical experts, and external providers to translate clinical data requirements into annotation and review activities.
• Contribute to clinical data collection, tool and model evaluation, and workflow improvements that increase efficiency while maintaining clinical accuracy and data quality.
• Conduct clinical research through literature review, procedural analysis, and consultation with clinical experts to support AI/ML research and product-development needs.

Technical Requirements:

• Bachelor’s degree in biology, physiology,…