Uni Internship Jan to May 2026 - Automation of Medication Load Process

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.
 
Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.
 
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.

The monthly medication load is a key process to ensure our clinical systems remain updated with the latest medication data, medication alerts and allergen mappings. It currently involves multiple manual steps and execution of an installation process. The objective of this project is to explore automation opportunities within the current medication load workflow so as to improve efficiency, reduce the risk of human error and free up time for higher-value tasks.

The selected interns will work on designing and developing automation solutions for non-clinical sensitive steps in the medication load process.

The selected interns will participate but not limited to the following:

• Understanding the end-to-end medication load workflow
• Identifying task suitable for automation while complying with data governance and access policies
• Build and develop scripts and tools to automate current steps
• Document automated process clearly for future scalability
• Present findings and a working prototype to the internal team

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Science, Computer Engineering, Electrical and Electronic Engineering, Information Systems or related field
• Graduating in May/Dec 2026 or May 2027
• Preferred knowledge in Python and Excel Macros
• Familiarity with automation concept is a plus
• 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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