INTERNSHIP DETAILS

Uni Internship Jan to July 2027 - AI-Powered Health Analytics App Development

CompanySynapxe
LocationSingapore
Work ModeOn Site
PostedJuly 3, 2026
Internship Information
Core Responsibilities
Design and develop an AI-powered web application to integrate healthcare data for predictive analytics and demand forecasting. The role involves implementing data models and deploying the solution on secure cloud platforms like AWS or Azure.
Internship Type
full time
Company Size
3656
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere. Reimagine the future of health together with us at www.synapxe.sg
About the Role

Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. Internship@Synapxe is where curiosity meets impact! You would be able to gain practical experience, hone your skills, and be part of meaningful work that improves health through technology! 

 

Healthcare operations and policy planning rely on analysing large volumes of complex data. This project focuses on developing an AI-powered application that integrates healthcare data with advanced analytics and GenAI capabilities to support data-driven decision-making.

 

The solution will enable use cases such as disease prediction, demand forecasting, programme evaluation, and intelligent insights generation, and will be deployed on secure platforms such as AWS, Azure, or MOH Data Platform.

 

The selected intern(s) will assist in following:

 

1. Application Design & Development

  • Design and develop interactive web applications using frameworks such as ReactJS, Angular, Flask, or Django
  • Build user-friendly interfaces to visualise healthcare analytics and insights

 

2. AI / GenAI Integration

  • Integrate AI/GenAI models to enable intelligent features such as predictive analytics and automated insights
  • Support development of features like message classification and data-driven recommendations

 

3. Healthcare Data & Business Logic

  • Design and implement data models to support healthcare analytics and demand projection
  • Translate business and policy requirements into system logic and workflows

 

4. Cloud Deployment

  • Deploy and optimise applications on cloud platforms (AWS, Azure, or MOH Cloud)
  • Ensure application performance, scalability, and security best practices

 

5. Collaboration & Continuous Improvement

  • Work closely with stakeholders to refine requirements and enhance usability
  • Incorporate feedback to improve system functionality and user experience

 

About You:

 

  • Undergraduate currently in Year 2 or Year 3, pursuing a degree in Business Artificial Intelligence Systems, Data Analytics, Information Systems, Computer Science, Computer Engineering, Industrial & Systems Engineering, Information Engineering & Media, or a related discipline
  • Proficiency in Python and/or at least one web development framework (ReactJS, Angular, FastAPI or Flask). Familiarity with cloud platforms (AWS, Azure) and Databricks data platform has added advantage.
  • AI Knowledge: Basic understanding of AI/LLM and their applications in data analytics.
  • Programming Languages: Strong foundation in programming languages such as Python, JavaScript, or similar.
  • Data Handling: Experience with handling and processing large datasets.
  • Ability to multitask and work effectively as part of a multidisciplinary team 
  • Passionate and keen to make a difference to re-imagine the future of HealthTech 

 

Interns will be based at Ministry of Health (Outram Campus).

 

Want a glimpse into life at Synapxe? Follow us on TikTok, Instagram, and LinkedIn for exciting updates, stories, and behind‑the‑scenes content!   

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Key Skills
PythonReactJSAngularFlaskDjangoFastAPIAWSAzureDatabricksGenAIPredictive AnalyticsJavaScriptData ModelingWeb DevelopmentCloud DeploymentHealthcare Analytics
Categories
TechnologyHealthcareData & AnalyticsSoftwareEngineering