Uni Internship May to Dec 2026 - Machine Learning Ops

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.

Join our team to support a major migration from our existing application SCM to NGEMR (EPIC). You will assist in migrating deployed Machine Learning models, making necessary changes to model pipelines and data elements to ensure functionality post-migration.

This project involves moving from an older supply chain management system to a new, integrated platform built on EPIC's technology. The goal is to have supply chain management work seamlessly with patient care records - so when a doctor uses a medical device on a patient, the system automatically tracks both the patient's treatment and the supply usage.

The selected intern will participate in, but is not limited to, the following:

• Assist in collecting, cleaning, and preparing dataflows for IDMC
• Support data integration tasks using Informatica IDMC (Informatica Intelligent Data Management Cloud)
• Participate in data processing and pipeline development on Databricks (PySpark/Delta Lake)
• Assist in maintaining and troubleshooting data workflows on AWS (S3, sFTP, Athena, Lambda, Redshift)
• Document processes, data dictionaries, and workflow changes
• Collaborate with cross-functional teams on analytics requirements and data quality improvements

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Engineering, Computer Science, Data Science, Information Systems, or related discipline
• Graduating in Dec 2026 or May 2027
• Basic understanding of SQL and Python.
• Strong interest in data analytics and cloud technologies.
• Good analytical thinking, problem-solving skills, and attention to detail.
• Willingness to learn and adapt to new tools and platforms.
• 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