INTERNSHIP DETAILS

Uni Internship Jan to July 2027 - Data Operations & Process Improvement, Data Platform (HEALIX)

CompanySynapxe
LocationSingapore
Work ModeOn Site
PostedJuly 3, 2026
Internship Information
Core Responsibilities
Support the HEALIX healthcare data platform through system monitoring, incident management, and the development of performance dashboards. Contribute to operational efficiency by streamlining workflows and developing automation scripts to reduce manual tasks.
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! 

 

We are looking for intern(s) to join our operations team to support HEALIX, a cloud-based healthcare data platform, and related on-premises systems. This internship provides hands-on exposure to real-world healthcare IT operations, including system monitoring, incident management, and process improvement initiatives. You will gain experience in enhancing operational workflows, supporting issue resolution, and developing automation solutions to improve efficiency.

 

The selected intern(s) will assist in following:

 

  • Support system monitoring and reporting activities, including developing or enhancing dashboards to track system performance, issue trends, and operational metrics
  • Assist in incident and issue management, including logging, categorising, and tracking resolution progress across cloud and on-premises systems
  • Contribute to process improvement initiatives, identifying opportunities to streamline and optimise operational workflows
  • Support automation efforts, including assisting in the development or enhancement of scripts and tools to reduce manual and repetitive tasks
  • Assist in documentation and operational support, including data preparation, SOP updates, and supporting team deliverables

 

About You:

 

  • Undergraduate currently in Year 2 or Year 3, pursuing in Applied Artificial Intelligence, Business Analytics, Computer Engineering, Computer Science, Data Science, or related discipline.
  • Basic familiarity with data visualisation or reporting tools (e.g. Tableau, OAS) is a plus; interns are expected to learn and build these skills on the job
  • Strong analytical and problem-solving skills, with the ability to support issue triaging and identify process improvement opportunities
  • Proactive and self-driven mindset, with curiosity and willingness to explore new ideas and improve existing processes
  • Good communication skills and attention to detail, particularly in documentation and SOP-related work
  • Adaptability and learning agility, with openness to working with new tools, systems, and environments
  • 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 

 

Interns will be required to travel to Public Healthcare Institutions (PHIs) as part of the role.

 

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
System MonitoringIncident ManagementProcess ImprovementAutomationData VisualizationAnalytical SkillsProblem SolvingTechnical DocumentationSOP DevelopmentIssue TriagingCommunication SkillsMultitasking
Categories
Data & AnalyticsHealthcareTechnologySoftwareEngineering