Sunnyvale, CA30+ days ago
p>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.
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).