Senior Manager, Artificial Intelligence Office

Senior Manager, Artificial Intelligence Office (1-yr contract) Job ID: 8181 Job Function: Administration Institution: National University Health System Reporting to the Deputy Group Chief Technology Officer, you will support in building and maintaining secure, scalable, and compliant healthcare applications that integrate with electronic health records (EHRs), AI-driven analytics, and cloud-based systems. The incumbent will propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. Key Responsibilities Develop and maintain web applications using Python, HTML, and ReactJS. Collaborate with the design team to create user-friendly and visually appealing interfaces. Write clean, maintainable, and efficient code following best practices. Perform code reviews to ensure code quality and adherence to coding standards. Troubleshoot and debug issues across the entire stack. Optimize applications for maximum speed and scalability. Stay updated on emerging technologies and trends in web development. Work closely with cross-functional teams to gather requirements and translate them into technical solutions. Participate in sprint planning, daily stand-ups, and other agile ceremonies. Design, develop, test and deploy AI powered chatbot, dashboard, and applications. Develop, test, and deploy healthcare software applications that support EHR integration, AI-driven diagnostics, telemedicine, and other healthcare workflows. Design and implement APIs and microservices to facilitate secure data exchange between healthcare systems. Ensure compliance with healthcare regulations (HIPAA, GDPR, HITRUST) and implement secure authentication/authorization mechanisms (OAuth, OpenID, JWT). Optimize application performance and scalability for handling large volumes of medical data and real-time patient monitoring. Collaborate with UI/UX designers to create intuitive and accessible healthcare applications for clinicians and patients. Work with cloud-based healthcare infrastructures, particularly AWS (Lambda, S3, RDS, Fargate, DynamoDB, CloudWatch) to deploy and maintain applications. Support and maintain existing healthcare applications, troubleshooting bugs, improving performance, and adding new features based on user feedback. Integrate AI and machine learning models into clinical workflows to enhance predictive analytics and automated decision-making. Mentor junior developers and contribute to technical documentation and best practices. All other responsibilities requested by the Reporting Officer. Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 5+ years of experience in software development, preferably in healthcare technology. Proficiency in one or more backend programming languages (Python, Java, C#, .NET, Node.js). Experience with frontend frameworks (React, Angular, Vue.js) for building healthcare applications. Strong knowledge of RESTful and GraphQL APIs, web services, and data exchange formats (JSON, XML). Experience with healthcare data standards (HL7, FHIR, DICOM, X12, SNOMED, LOINC). Familiarity with database technologies, including relational (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, DynamoDB). Hands-on experience with cloud computing (AWS, Azure, or Google Cloud). Understanding of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Strong problem-solving skills with the ability to work in fast-paced healthcare environments. Experience developing AI-driven healthcare solutions (e.g., AI-assisted diagnostics, NLP for clinical notes, predictive analytics). Knowledge of interoperability protocols such as SMART on FHIR. Experience with mobile healthcare application development (iOS/Android, Flutter, React Native). Familiarity with hospital IT environments, PACS, and medical imaging systems. AWS Certified Developer or Azure Solutions Architect Certification. Excellent communication and presentation skills to effectively convey analytical findings to both technical and non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment. #J-18808-Ljbffr