A*STAR RESEARCH ENTITIES is hiring for a (Senior) Scientist, Computing & Intelligence, IHPC internship — a 12-month, on-site Government Policy role based in FUSIONOPOLIS WAY, Singapore. It is an unpaid internship. It is open to university students, typically in Year 2–4. Applicants with experience in thermal behaviour, COMSOL, Computational Mechanics, finite element modeling, and Abaqus are a strong fit.
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About this role
Job SummaryAbout the Role The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Senior Research Scientist to conduct cutting-edge research in Artificial Intelligence and Machine Learning, with a focus on advancing AI-driven scientific discovery across healthcare, life sciences, biology, and biomedical research. The successful candidate will lead the development of next-generation AI technologies, including foundation models, multimodal learning systems, scientific machine learning, generative AI, and agentic AI systems that accelerate scientific discovery and translate research innovations into real-world impact. Key ResponsibilitiesResearch & Innovation • Develop AI models and platforms that accelerate discovery in healthcare, life sciences, and biomedical research. • Advance foundation models that learn from large-scale biological, clinical, molecular, and scientific datasets. • Develop AI systems for: • • Multi-omics analysis • Drug discovery and therapeutic development • Precision medicine • Biomarker discovery • Disease prediction and prognosis • Scientific knowledge extraction and reasoning • Build agentic AI systems capable of hypothesis generation, experiment design, scientific reasoning, and autonomous discovery. • Develop methodologies that integrate experimental data, simulations, scientific literature, and domain knowledge to support scientific decision-making and discovery. • Collaborate with clinicians, biologists, healthcare researchers, and domain scientists to translate AI innovations into real-world applications. • Drive the development of reusable AI platforms, foundation models, and scientific discovery systems. • Contribute to technology transfer, intellectual property generation, and commercialization opportunities. • Lead collaborations with academic institutions, healthcare organizations, government agencies, and industry partners. Scientific Leadership • Publish high-impact research in leading AI, machine learning, healthcare, and scientific journals and conferences. • Contribute to grant proposals, project planning, and strategic research initiatives. • Mentor junior researchers, engineers, and students. • Represent IHPC in collaborations with academic, healthcare, government, and industry partners. RequirementsEssential • PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Biomedical Engineering, Computer Engineering, or a related discipline. • Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects. • Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow. • Experience developing and evaluating machine learning and deep learning models. • Experience working with large-scale datasets and computational infrastructure. • Strong interest in applying AI to scientific discovery, healthcare, and life science challenges. Preferred • Experience in one or more of the following areas:Foundation Models for ScienceComputational Biology and Multi-OmicsDrug Discovery and Molecular ModelingBiomedical AIPrecision MedicineScientific Knowledge GraphsScientific Reasoning and Agentic AI SystemsHealthcare AI and Clinical Decision SupportGenerative AI for Scientific Discovery What We Offer• Opportunity to work on nationally significant AI for Science, Healthcare, and Life Sciences initiatives. • Access to world-class computational infrastructure, large-scale scientific datasets, and advanced research facilities. • Collaboration with leading AI researchers, clinicians, scientists, and industry partners. • A dynamic environment supporting both fundamental AI research and translational impact. • Opportunities to shape the future of AI-driven scientific discovery and healthcare innovation.
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