Mgr Clinical Data
Intuitive · San Francisco Bay Area
📍 Sunnyvale, CA, usvia smartrecruitersPosted 2026-06-24
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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 of Position
The Ion™ endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the
peripheral lung, designed to improve the early diagnosis of lung cancer. The Ion R&D team is
looking for an experienced leader to own medical image dataset development. You will build and
scale a high-performing organization of internal annotation specialists and external partners,
delivering high-quality datasets to enable intelligent capabilities in our robotic platform.
In this role, you will work at the intersection of Machine Learning, Clinical and Regulatory Affairs,
and Data Operations. You will define organization-wide standards for dataset quality, establish
scalable data workflows, and serve as the single accountable owner for dataset readiness across
programs. You will directly accelerate the development of AI-powered technologies that help
physicians diagnose patients earlier and more accurately.
Essential Job Duties
Define and oversee dataset strategy and execution across multiple programs, balancing
competing priorities and timelines
Translate ML engineering and clinical requirements into clear dataset specifications
Manage multiple teams of internal labeling technicians, including hiring, onboarding,
training, performance management, and day-to-day workload planning
Procure and manage external annotation vendors and contractors to meet quality and
schedule targets
Track dataset progress and communicate status, risks, and tradeoffs to leadership
Partner with Regulatory Affairs and Clinical Affairs to ensure datasets meet FDA and
international guidelines
Establish and oversee quality control workflows, acceptance criteria, and rework
processes for data annotation
Define and enforce labeling guidelines, SOP’s, and reviewer instructions in collaboration
with ML engineers and clinical SME’s
Own the creation and maintenance of dataset documentation to support releases and
submissions
Improve data operations workflows, standards, and tooling across teams in partnership
with software and data engineering groups
Serve as the single accountable owner for dataset readiness
Required Skills and Experience
To qualify for this position, you must have:
A bachelor’s degree in computer science, biomedical engineering, or equivalent
experience
Five or more years of experience in data operations or ML dataset management,
including experience leading multiple teams or programs
Experience working with medical imaging data (e.g., CT, X-ray, ultrasound)
Demonstrated experience managing people and/or external vendors in an operational or
technical environment
Strong project management skills with experience coordinating cross-functional work
Solid understanding of data quality, documentation, and traceability principles
Ability to interpret technical requirements and collaborate effectively with ML engineers
and clinical experts
Strong written and verbal communication skills
High levels of ownership, organization, and attention to detail
Preferred Skills and Experience
Ideally, a candidate would also have:
Experience working in an FDA-regulated medical device environment (e.g., 510(k), PMA,
MDR, ISO 13485)
Experience writing operating procedures, work instructions, or other quality system
documentation
Familiarity with annotation tools such as SuperAnnotate, Labelbox, CVAT, or similar
Understanding of AI/ML regulatory guidance (e.g., FDA Good Machine Learning Practice)
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Mandatory Notices
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees
who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approve
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