About Us
Cygnus Med is the Singapore-based R&D center of Furui Medical Science, a publicly listed global medical technology group focused on early-stage diagnosis. Positioned at the crossroads of clinical medicine, medical imaging, and computational science, we are building the next generation of intelligent tools that empower physicians to make faster, more accurate decisions.
At Cygnus, we blend the agility of a startup with the stability and scale of an international enterprise. As part of a high-impact, cross-disciplinary team, your work will translate directly into innovations that improve patient outcomes around the world.
Key Responsibilities
- Label ultrasound images and videos (lower limb venous structures) using internal tools
- Collaborate with medical experts and AI engineers to refine annotation guidelines and ensure clinical accuracy;
- Improve and maintain internal data annotation tools, working with the software engineering team to enhance usability, efficiency, and quality control;
- Conduct QA checks and consistency reviews on annotated datasets
- Document workflows, provide feedback on tool performance, and propose process optimizations
- Support dataset preparation for AI model training and validation.
Requirements
- Bachelor's degree or higher in Medical Imaging, Biomedical Engineering, Computer Science, or related field
- Experience with medical data annotation, medical image processing, or related AI/ML datasets preferred
- Strong attention to detail, accuracy, and responsibility in data-related tasks
- Good team spirit and communication skills.
Preferred Qualifications
- Experience using medical annotation tools (e.g., LabelMe, CVAT)
- Familiarity with varicose vein diagnosis is a strong plus.
Application
To apply, lease send your CV and a brief note on why this space excites you to .
We look forward to seeing how your skills and creativity can contribute to building impactful healthcare software.
