About this role
The Assistant Director/Senior Assistant Director will help build the data, compute and AI infrastructure supporting A*STAR’s biomedical research. The role will enable advanced AI, agentic AI systems and self-driving laboratories while expanding AI adoption and capabilities across the research community. Work location: Biopolis, Singapore.
Responsibilities
- Develop infrastructure strategy with research, IT and compute teams and key opinion leaders. Design and build high-performance computing, cloud and GPU resources, data platforms and AI/ML tooling for biomedical research.
- Identify valuable AI use cases, integrate AI tools into research workflows, and develop training and communities of practice. Track adoption outcomes.
- Partner with public agencies, universities, hospitals, cloud and compute providers, and industry to accelerate adoption of AI and automation infrastructure.
- Monitor developments in AI infrastructure, high-performance computing, agentic AI and self-driving laboratories. Manage programme governance, administration and performance, including data governance, reliability, costs, capacity and continuous improvement.
Requirements
- A degree or postgraduate degree in Computer Science, Artificial Intelligence, Data/Computer Engineering, Bioinformatics or a related quantitative discipline. Biomedical Sciences degrees may be considered with relevant data, AI or compute infrastructure experience.
- At least 5 years of experience in data infrastructure, AI/ML systems, high-performance computing, cloud engineering or research computing, plus demonstrated ability to formulate and deliver strategic infrastructure initiatives in large or multidisciplinary organisations.
- Strong understanding of AI/ML infrastructure, cloud/HPC, data platforms and biomedical research applications. Experience driving technology adoption and capability building, and the ability to explain technical AI concepts to scientific audiences. Strong analytical, written and oral communication skills, with an independent and collaborative approach.
Advantageous: Familiarity with agentic AI and self-driving or automated laboratory technologies.
Skills for this role
AI infrastructureData infrastructureHigh-performance computingCloud computingGPU computingData platformsAI/ML systemsAgentic AILaboratory automationData governanceInfrastructure strategyTechnology adoptionVendor managementCapacity managementBiomedical researchCommunication