Executive / Senior Executive, Artificial Intelligence Office (1-yr contract)

Overview

Join the NUHS AI Office (AIO) that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NUHS.

Key Responsibilities

You will be responsible for the following:

• Develop and maintain web applications using Python, HTML, and ReactJS.
• Design and implement front-end interfaces using modern JavaScript frameworks.
• 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.
• Troubleshoot and debug issues across the entire stack
• 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 that is requested by the Reporting Officer

Requirements

• Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science).
• 3+ years of experience in software development, preferably in healthcare technology.
• Proficiency in one or more backend programming languages (Python, Java, C#, .NET, ).
• Experience with frontend frameworks (React, Angular, ) 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
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization.
• Familiarity with statistical techniques and data mining methods.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive and visually appealing dashboards and reports.
• Knowledge of database concepts and experience working with large datasets.(Good to Have)
• Strong attention to detail and ability to handle and analyze data accurately.
• 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.
• Work as a team member to fulfill requirements and tasks assigned by the Reporting Officer