Research Engineer II (Artificial Intelligence / Computer Science / Data Science)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

HABITS research environment

Job summary

NTU Singapore seeks a Research Engineer to support AI-driven health research and project management within HABITS, a center established through NTU and NHG. The role focuses on developing AI solutions, managing data operations, ethics approvals, and collaboration with clinicians and biostatisticians.

Ideal candidates hold a PhD or MSc in a relevant field with strong AI expertise, healthcare data understanding, and excellent communication skills.

Qualifications

• PhD or MSc in CS/AI/Math/Engineering or related field.
• Expertise in artificial intelligence, machine learning, and deep learning.
• Strong understanding of healthcare data and clinical research.
• Proficiency in ML techniques and data-driven problem solving.
• Excellent communication and collaboration abilities.

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

Deep Learning

Digital Health

Data Analysis

Communication

Education

PhD or MSc in CS/AI/Math/Engineering

Job description

Established as a partnership between Nanyang Technological University (NTU) and the National Healthcare Group (NHG), the Asian Centre for Health Behavioural Insights & Interventions (HABITS) aims to improve population health through multidisciplinary and translational research to support interventions, policy and programmes; strengthen national capabilities through the integration of translational research into health intervention processes; and increase Singapore's regional and international profile as a centre of excellence for health behavioural sciences.

We are looking for a Research Engineer to work closely with the Centre’s Pillar Leads and Directors to support the management of research projects and the development of competitive research grant applications. The role will focus on project management, research expertise, managing and day-to-day research operations, such as data storage, budgets, expenses, assets, and ethics approvals.

Key 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.

Job Requirements

PhD/ Masters in Computer Science, Artificial Intelligence, Mathematics, Engineering, or a related field.

Entry level candidate with demonstrated expertise in artificial intelligence (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.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution

NTU: A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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