Clinical Data Engineer

-; Singapore; On-site; SGD 45,000 - 65,000; Full time

Job summary

A leading medical technology firm in Singapore is seeking a Data Annotation Specialist to design automated pipelines and label ultrasound images for AI model training. The ideal candidate has a degree in Computer Science or related field and basic knowledge of ultrasound imaging. Join a dynamic team dedicated to enhancing patient outcomes through innovative healthcare software.

Qualifications

• Basic knowledge of ultrasound imaging, especially venous or vascular anatomy.
• Previous experience in clinical research or medical imaging is preferred.

Responsibilities

• Design, implement, and maintain automated pipelines for ingesting clinical ultrasound data.
• Label ultrasound images and videos using internal tools.
• Support data QA and improve label consistency.

Skills

Detail-oriented

Good team spirit

Communication skills

Education

Bachelor's or Master's degree in Computer Science, Biomedical Informatics, Data Engineering

Tools

LabelMe

CVAT

Job description

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

• Design, implement, and maintain automated pipelines for ingesting clinical ultrasound data from hospitals and clinical trial sites;
• Label ultrasound images and videos (lower limb venous structures) using internal tools;
• Assist in building datasets for training AI diagnostic models;
• Communicate with product managers and AI engineers to understand labeling requirements and issues;
• Deliver accurate and timely annotations based on internal standards;
• Support data QA, review cycles, and help improve label consistency;
• Assist in refining data annotation guidelines based on industry best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Biomedical Informatics, Data Engineering, or related field;
• Basic knowledge of ultrasound imaging, especially venous or vascular anatomy;
• Detail-oriented, responsible, and able to commit regularly to on-site work;
• Good team spirit and communication skills.

Preferred Qualifications

• Previous experience in clinical research, medical imaging, or regulated healthcare data environments;
• Experience using medical annotation tools (e.g., LabelMe, CVAT);
• Familiarity with varicose vein diagnosis is a strong plus.

Location & Work Arrangement

This role is primarily based onsite at our office near Buona Vista, Singapore.

Application

To apply, please send your CV and a brief note on why this space excites you to [e-mail].

We look forward to seeing how your skills and creativity can contribute to building impactful healthcare software.

Cygnus Med is an equal opportunities employer and welcomes applications from all qualified candidates.