AI Health Research Engineer – Project & Data Lead

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University Singapore's HABITS centre seeks a Research Engineer to manage research projects, develop AI algorithms for digital health, and support grant applications. The role interfaces with pillar leads, directors, and collaborators to ensure data integrity and timely deliverables.

The ideal candidate holds a PhD or Masters in a relevant field, with hands-on AI expertise and the ability to mentor junior researchers while aligning with healthcare data standards and

Qualifications

• PhD/ Masters in CS, AI, Math, Engineering or related field
• Entry level candidate with demonstrated expertise in AI, ML, DL, or digital health technologies
• Strong expertise in developing and applying AI solutions to real-world healthcare challenges
• Good understanding of clinical research and healthcare data
• Proficiency in machine learning, deep learning, and advanced AI techniques

Responsibilities

• Develop, validate, and deploy AI algorithms for digital health and AI-driven research projects.
• Lead technical innovation by exploring and implementing emerging AI methodologies.
• Support data platform development and retrospective data collection and analysis.
• Collaborate with researchers, clinicians, coordinators, and biostatisticians to deliver project outcomes.
• Publish research findings in high-impact journals and present results to investigators and collaborators.
• Prepare technical reports and research updates for project leadership.
• Mentor junior AI researchers and contribute to capability building within the team.

Skills

AI

Machine learning

Deep learning

Digital health

Education

PhD or Masters in Computer Science/AI/Math/Engineering

Job description

Nanyang Technological University Singapore's HABITS centre seeks a Research Engineer to manage research projects, develop AI algorithms for digital health, and support grant applications. The role interfaces with pillar leads, directors, and collaborators to ensure data integrity and timely deliverables.

The ideal candidate holds a PhD or Masters in a relevant field, with hands-on AI expertise and the ability to mentor junior researchers while aligning with healthcare data standards and