Clinical Data Specialist

Intuitive • Sunnyvale, CA

3d

About The Position

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Primary Function: We are seeking a highly motivated Clinical Data Specialist to join our team and help with clinical data annotation, collection and testing. The ideal candidate will possess strong organizational and documentation skills, with the ability to balance attention to detail and time efficiency. The candidate will play a critical role in annotating videos and images of surgical and operating room workflows, as well as evaluating various AI models to ensure they meet our quality standards.

Requirements

• Bachelor’s degree in a relevant field (e.g., life sciences, biomedical engineering, data science, etc.).
• Proven experience in data annotation.
• Experience with labeling tools and platforms, with a willingness to learn new tools as needed.
• Strong organizational skills with meticulous attention to detail.
• Excellent documentation skills with the ability to clearly communicate processes and procedures.
• Strong analytical and problem-solving skills, with the ability to identify patterns in data, make informed decisions on labeling strategies, evaluate technology, and provide constructive feedback.
• Comfortable working in a team-oriented environment with excellent interpersonal skills.
• Ability to manage time effectively and prioritize tasks in a fast-paced setting.
• Ability to watch live and recorded surgical videos.
• Ability to handle confidential/sensitive information professionally.

Nice To Haves

• Familiarity with surgical operating rooms, procedures, and workflows is a plus. Training and assistance will be provided in this area; however, prior experience and interest will be an advantage.

Responsibilities

• Annotate operating room workflow videos and images accurately and consistently to support AI product research and development.
• Annotate surgical videos and images with their corresponding phases, steps, anatomy, and objects.
• Ensure the alignment of visual content with the relevant language data, including identifying objects, actions, and context.
• Maintain detailed documentation of annotation processes and methodologies to ensure adherence to company standards.
• Collaborate effectively within a small team to share insights, challenges, and solutions in a proactive manner.
• Manage multiple annotation projects simultaneously while adhering to deadlines and ensuring quality assurance.
• Contribute to clinical lab data collection.
• Participate in regular team meetings to discuss progress, share learnings, and refine best practices.

What This Job Offers

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