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A leading medical technology firm in Singapore is seeking a part-time candidate to assist with annotating lower-limb venous ultrasound images. This role involves working with the AI research team to improve software accuracy, requiring experience in medical imaging and a commitment of 16-25 hours per week. Training will be provided, with a flexible schedule for the right candidate.
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.
You will work closely with our AI research team and clinical advisors to label and annotate lower-limb venous ultrasound examinations using Cygnus Med’s internal annotation platform. This role is crucial for improving the accuracy and robustness of our AI-CHIVA software.
This position is suitable for medical students, biomedical engineering students, sonography students, or candidates with experience in ultrasound imaging.
Training will be provided.
This role is primarily based onsite at our office near Buona Vista, Singapore.
To apply, lease send your CV and a brief note on why this space excites you to wangchenqiao@fu-rui.com.
We look forward to seeing how your skills and creativity can contribute to building impactful healthcare software.