AI Research Associate - Healthcare Data & Projects

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

Job summary

NTU Singapore's HABITS centre seeks a Research Associate to support management of research projects and competitive grant applications, focusing on AI-driven health research, data storage, budgets, and ethics approvals.

You will collaborate with Pillar Leads, clinicians, biostatisticians, and researchers to deliver outcomes and mentor junior AI researchers, contributing to team capacity building. Master’s degree required; entry-level in AI/health tech.

Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Engineering, or related field.
• Entry-level with demonstrated expertise in AI, machine learning, deep learning, 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.
• Strong analytical, problem-solving, and communication skills.

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/ML methods

Data analysis

Project management

Research communication

Education

Master’s degree in Computer Science / AI / Mathematics / Engineering

Tools

Python

TensorFlow

PyTorch

Job description

NTU Singapore's HABITS centre seeks a Research Associate to support management of research projects and competitive grant applications, focusing on AI-driven health research, data storage, budgets, and ethics approvals.

You will collaborate with Pillar Leads, clinicians, biostatisticians, and researchers to deliver outcomes and mentor junior AI researchers, contributing to team capacity building. Master’s degree required; entry-level in AI/health tech.