INTERNSHIP DETAILS

Uni Internship Jan to July 2027 - Guardrail Development, Summarization, and Automation Capabilities

CompanySynapxe
LocationSingapore
Work ModeOn Site
PostedJuly 7, 2026
Internship Information
Core Responsibilities
The intern will conduct exploratory data analysis on healthcare datasets and design methodologies to predict conditions like Atrial Fibrillation. Responsibilities include model tuning, post-training analysis using explainable AI, and supporting deployment on mobile or edge devices.
Internship Type
full time
Company Size
3659
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!

 

As an intern you will join the Data Science & AI team to explore the use of advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques for analysing sequential healthcare data. Sequential data, including ECG signals, heartbeats, speech, and gene sequences, contains rich information that can support risk detection and prediction. This internship provides the opportunity to work with real-world healthcare datasets and develop AI-powered solutions for predictive healthcare applications.

 

The selected intern(s) will assist in following:

 

  • Conduct exploratory data analysis on heartbeat, ECG, and PPG datasets
  • Design methodologies for analysing and predicting Atrial Fibrillation and other healthcare conditions that may require invasive measurements
  • Conduct experiments involving model exploration, selection, and hyperparameter tuning
  • Perform post-training model analysis using explainable AI techniques
  • Explore model quantisation techniques to improve deployment efficiency
  • Support the deployment and testing of models on mobile or edge devices

 

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
  • Strong coding skills in python programming language
  • Strong interest in GenAI technologies
  • Hands-on experience in using proprietary LLM with API access (e.g. GPT-4o) and/or open source LLM (e.g. Gemma 4)
  • Good understanding of AI/ML technical concepts
  • 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

 

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

TikTok | Instagram | LinkedIn   

 

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Key Skills
PythonGenerative AILarge Language ModelsMachine LearningData AnalysisExplainable AIModel QuantisationEdge ComputingPredictive ModelingCommunication Skills
Categories
Data & AnalyticsHealthcareTechnologyScience & ResearchSoftware