Uni Internship Jan to July 2027 - Healthcare Foundation Model for Medical Event Sequences

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 develop next-generation foundation models for healthcare applications. Longitudinal patient journeys can be represented as sequences of medical events, creating opportunities to leverage state-of-the-art sequence modelling techniques to generate meaningful insights and predictive capabilities. This internship offers the opportunity to work with healthcare data, develop transformer-based foundation models, and collaborate with stakeholders across the public healthcare ecosystem.

The selected intern(s) will assist in following:

• Perform data cleaning to improve the quality and consistency of healthcare datasets.
• Support data harmonisation activities to facilitate integration and standardisation of medical event data from multiple sources.
• Conduct data preprocessing and feature preparation for sequence-based modelling tasks.
• Assist in continual pre-training and fine-tuning of transformer-based foundation models on healthcare data.
• Evaluate model performance across multiple healthcare-related prediction and classification tasks.
• Analyse model outputs and support the identification of areas for model improvement.
• Document methodologies, experimental results, and key findings to support model development and evaluation.

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
• Proficiency in Python programming, with experience in data processing and model development
• Hands-on experience with deep learning frameworks (e.g. PyTorch)
• Familiarity with transformer architectures, including training and fine-tuning techniques
• Familiarity with version control tools (e.g. Git, GitHub)
• Strong documentation skills, with the ability to clearly record project materials such as research, code, results, and findings
• Effective communication skills, including the ability to present results and insights clearly
• 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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