Job Summary We are a project team comprising researchers from SingHealth, A*STAR, and Synapxe, developing a product to enhance the management and treatment of patients with lower respiratory tract infections (LRTIs)—a condition that accounts for nearly 489 million cases globally and is a major contributor to inappropriate antibiotic use in Singapore. Over 40% of prescriptions for LRTIs are unnecessary, contributing to antimicrobial resistance (AMR) — a top global health threat. Traditional stewardship programs are expert‑dependent and resource‑intensive, limiting scalability. To overcome these challenges, we are building an AI‑powered large language model platform that uses routinely collected clinical data to help clinicians identify cases that do not require antibiotics, thereby reducing unnecessary prescriptions.
Role As a Research Officer, you will play a central role by integrating Large Language Models (LLMs) for intelligent processing of unstructured clinical text—such as phy...