The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences, functioning as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation. Research Assistant (Cloud Infrastructure Engineer) We invite applications for a Research Assistant (Cloud Infrastructure Engineer) role. The successful candidate will be responsible for supporting the administration of the Healthcare Commercial Cloud (HCC), a commercial cloud platform operating in AWS and Azure, customized to meet healthcare staff and organisational needs while ensuring compliant security. Responsibilities Design, develop, and operate cloud security technologies, solutions, and services in HCC AWS and Azure in accordance with relevant healthcare cloud security policies, standards, cloud architecture standards and guidelines. Manage the AWS Management Console, AWS data storage (S3) and virtual machine (EC2) to enable research collaborators through Research Gateway. Enable AWS cloud infrastructure for different researchers within and across teams. Perform in-depth troubleshooting and tracing of traffic / activities across various cloud services within a commercial cloud environment (AWS and Azure) to identify root cause of the issues / incidents. Secure and maintain up-to-date baseline HCC computing services such as VM image with latest anti‑malware definitions and patches. Deploy and maintain clinical data management platforms (e.g., Medidata, REDCap and Qualtrics) for electronic remote data capturing. Job Requirements Bachelor’s degree or higher in Computer Science, IT, or related field. Minimum 2 years’ hands‑on experience with AWS and Azure, including workload management, identity & access control, policy compliance, virtualization, storage and databases. Knowledge of AWS/Azure Well‑Architected Framework and Application Infrastructure Architecture Standards. Prior government/healthcare experience is a plus. Experience designing and building web environments on AWS (e.g., S3, EC2). Proficient in Linux/Unix and Windows server administration, installing applications and data science tools (R, RStudio, Python, Anaconda). Experience with cloud monitoring tools (AWS SNS, CloudWatch, billing dashboards) and budget tracking. Familiarity with AWS service catalogue, AMI, scripting (JSON, Python, YAML), and Terraform for infrastructure management. Strong communication, time management and organisational skills. A team player who can prioritise, multi‑task and work collaboratively in a diverse workforce. Candidates with higher credentials may be considered for more senior appointments. We regret that only shortlisted candidates will be notified. #J-18808-Ljbffr