(Lead) Research Engineer, Computing & Intelligence, IAIC

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

The Institute of High Performance Computing (IHPC), a part of A*STAR, seeks a Research Engineer to advance reusable healthcare AI assets. You will collaborate with researchers, engineers, product owners, and public-sector partners to identify user needs and translate them into platform requirements for scalable AI solutions.

You will help drive adoption of reusable AI assets, contribute to intuitive user journeys, wireframes, prototypes, dashboards and comprehensive documentation for AI

Qualifications

• Experience in AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.
• Strong written and verbal communication skills, able to explain technical capabilities to both technical and non-technical audiences.
• Good planning, coordination and stakeholder management in fast-moving environments.

Responsibilities

• Identify user needs and translate them into actionable platform requirements.
• Drive the adoption of reusable AI assets across researchers, engineers and industry partners.
• Structure feedback into product and operational priorities and contribute to user journeys.
• Create wireframes, prototypes, dashboards and documentation for AI platforms.

Skills

AI/ML platform delivery

Stakeholder engagement

Technical project management

UI/UX design

Tools

Jira

Confluence

Git

GitHub/GitLab

Figma

Job description

Job Summary

The Institute of High Performance Computing (IHPC), A*STAR, was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world's top academics and academic institutions.

Research Engineer (Reusable Healthcare AI Assets)

The successful candidate will work closely with researchers, engineers, product owners, healthcare and public-sector stakeholders, and industry partners to identify user needs, translate them into actionable platform requirements, and drive the adoption of reusable AI assets. The role is suitable for someone who can engage stakeholders effectively, structure feedback into product and operational priorities, and contribute to simple, intuitive user journeys, wireframes, prototypes, dashboards, and documentation for AI platforms.

Requirements

• Experience in at least one of the following areas: AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.


• Working understanding of AI/ML systems, data-driven applications, software platforms, APIs, cloud environments, MLOps, or reusable software/assets. Deep research specialisation is not required, but the candidate must be comfortable working with technical teams.


• Ability to translate between domain needs, user pain points, operational constraints, and technical implementation requirements.


• Practical exposure to user research, journey mapping, wireframing, prototyping, usability testing, information architecture, or interface review.


• Strong written and verbal communication skills, with the ability to explain technical capabilities and trade-offs to both technical and non-technical audiences.


• Good planning, coordination, and stakeholder management skills, with the ability to manage multiple workstreams independently in a fast-moving environment.

Preferred qualifications

• Experience in healthcare, biomedical, public-sector, or regulated digital systems.


• Hands-on experience with UI/UX or prototyping tools such as Figma, Miro, FigJam, Balsamiq, or equivalent.


• Ability to build lightweight prototypes, demos, or dashboards using tools such as React, JavaScript/TypeScript, HTML/CSS, Streamlit, Gradio, Dash, Tableau, Power BI, or similar.


• Experience managing reusable asset catalogues, platform onboarding journeys, technical documentation portals, design systems, knowledge bases, or developer-facing resources.


• Familiarity with agile delivery and collaboration tools such as Jira, Confluence, Git, GitHub/GitLab, or equivalent.


• Awareness of responsible AI, model evaluation, AI safety, data privacy, cybersecurity, and governance considerations for AI systems.