Job Summary

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI Engineers with strong applied AI and software engineering skills to build scalable AI systems and translate cutting-edge research into real-world healthcare solutions.

Key Responsibilities

• Research & Development
  • Develop, train, fine-tune, and evaluate LLMs, agentic AI systems, vision foundation models, and multimodal foundation models.

• Build scalable training, inference, and deployment pipelines for AI models.
• Develop software tools, APIs, and cloud-based services for AI applications.
• Optimize model performance, reliability, and resource utilization on HPC and cloud platforms.
• Support model deployment, monitoring, and maintenance in research and production environments.

• Translation & Collaboration

• Develop AI solutions for clinical and biomedical applications such as clinical decision support, conversational AI, population health, and biomedical discovery.
• Collaborate with clinicians, researchers, and industry partners to translate AI technologies into practical healthcare solutions.
• Contribute to technology transfer, product development, and commercialization activities.

• Innovation and Technical Contribution

• Stay current with advances in LLMs, agentic AI, foundation models, and healthcare AI.
• Contribute to technical reports, patents, publications, and project deliverables.
• Support collaborative research proposals and interdisciplinary projects.

Qualifications

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Data Science, or a related field.
• Strong programming skills in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Experience developing and evaluating machine learning or deep learning models.
• Familiarity with software engineering practices, version control, and Linux environments.
• Strong problem-solving skills and ability to work in multidisciplinary teams.

Preferred Qualifications

• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world healthcare impact.
• Collaboration with leading AI researchers, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Career development opportunities in AI research, engineering, and technology translation.
• Support for technical training, publications, conferences, patents, and innovation activities.