Uni Internship Jan to July 2027 - HEALIX Data Integration, Validation and AI Innovation

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! 

HEALIX is the pioneering cloud-based analytics platform designed specifically for the public healthcare sector. By utilizing state-of-the-art cloud-native tools, it facilitates the swift development of AI models aimed at enhancing patient care. HEALIX consolidates the diverse data requirements of the public healthcare sector into a single, cohesive platform, fostering collaboration and efficiency. This integration allows stakeholders to harness the power of data-driven insights and artificial intelligence, ultimately leading to improved healthcare outcomes. The selected intern(s) will support the testing, validation, and delivery of HEALIX data projects, ensuring data accuracy while contributing to data pipeline validation and AI-driven use cases.

The selected intern(s) will assist in following:

• Support User Acceptance Testing (UAT) and Go-Live validation, ensuring data accuracy and system outputs meet requirements
• Assist in validating ETL pipeline processes, including checking data flow, transformations, and quality
• Support validation of data visualisation outputs, ensuring dashboards and reports are accurate and reliable
• Contribute to the exploration and development of ML/Ops pipelines and AI-related use cases on the HEALIX platform
• Assist in preparing project artefacts, including documentation, test results, and deployment materials
• Provide post-go-live support, including monitoring, issue tracking, and supporting smooth project handover

About You:

• Undergraduate currently in Year 2 or Year 3, pursuing a degree in Business Analytics, Business Artificial Intelligence Systems, Information Systems, Computer Science, Computer Engineering, Data Science, or a related discipline
• Basic understanding of ETL processes and tools (e.g. Informatica, Databricks)
• Proficiency in SQL scripting and query optimisation
• Experience with data visualisation tools (e.g. Tableau)
• Familiarity with cloud platforms, including AWS and Databricks
• Basic programming skills in Python and PySpark
• Exposure to ML/Ops practices and frameworks, including model lifecycle management and pipeline orchestration
• Foundational understanding of Agentic AI concepts and the design of AI-driven workflows within a healthcare data context
• Independent, fast-learner, and self-driven 
• Good team player with strong analytical and communication skills 
• 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

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