Uni Internship Jan to May 2026 - Advanced AI Exploration and Publication for Healthcare

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.

Artificial Intelligence, particularly in Natural Language Processing (NLP) and Multimodal models, is advancing at an unprecedented pace. With the introduction of models like OpenAI o3, DeepSeek-R1, Qwen3, and others there is a growing opportunity to explore and harness these technologies in domain-specific applications such as healthcare.

This internship project focuses on two key areas:

1. Technology Exploration and Evaluation
   • The intern will conduct hands-on research and experimentation with cutting-edge language and multimodal models, assessing their capabilities, limitations, and potential applications within the healthcare domain. Special attention will be given to the challenges specific to healthcare, such as domain-specific knowledge requirements, data privacy, safety considerations, and the practical barriers to deploying large models.
2. Scientific Publication and Research Support
   • Building on the research findings, the intern will contribute to writing and submitting papers to peer-reviewed journals or conferences. Additionally, the intern will support the publication efforts of other ongoing AI and healthcare projects within the team, gaining exposure to a broader range of applied research activities.

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

• Perform literature reviews and identify innovative technologies with potential application and impact in the healthcare sector, focusing on the adaptation of language and multimodal models to healthcare-specific use-cases
• Identify pain-points and formulate problem statements relevant to healthcare use-cases where novel technologies can be applied and bring value
• Identify appropriate sources of data for technology testing
• Perform Proof-of-Concept (PoC) studies to demonstrate the feasibility of implementing such technologies
• Rigorously document and report study progress, outcomes, and finding
• Prepare slide decks and for knowledge sharing with the Data Science Team
• Search and identify the most adequate and impactful peer-reviewed journals for publication of studies or project conducted at Synapxe Data Analytics and AI team
• Rapidly familiarize and stay up-to-date with current literature in the field of the study to be published
• Contribute to draft, review, and edit manuscripts following rigorous scientific writing style and standards
• Contribute ideas to improve the quality and acceptance likelihood of manuscripts
• Identify key articles for referencing relevant to the publication and insert the corresponding citations in the appropriate sections of the manuscript
• Format bibliography according to journal referencing style
• Create high-resolution publication-quality figures

This internship offers a unique opportunity to explore the frontiers of AI while addressing real-world challenges in healthcare. Students will gain hands-on experience with state-of-the-art models and tools, develop skills in applied research, and actively contribute to the scientific community through academic publications

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Data Science, Computer Engineering, Computer Science or related discipline
• Graduating in May/Dec 2026 or May 2027
• Proficiency in python programming language for data processing and model development is required
• Familiarity with git and github repositories is desirable
• Hands on experience with frameworks for NLP and Language model integration, such as LangChain, LlamaIndex, and Hugging Face is preferred
• Acquaintance with cloud service platforms such as AWS, Azure, and GCP is a plus
• Hands on experience with one or more deep learning frameworks, e.g., Tensorflow, Torch is a plus
• Familiarity with object-oriented programming is a plus
• Ability to browse and retrieve articles and information from journal sites and scientific literature libraries
• Understanding of manuscript submission, guides for authors, and publication process is a plus
• Experience with tools to create publication-quality figures is preferred
• Familiarity with reference managing tools is a plus
• Scientific writing skills is a plus
• Knowledge with hypothesis testing and statistical tests is a plus
• Ability to communicate effectively and present results and findings
• Adaptability to work on a constantly evolving environment
• Ability to document comprehensively and rigorously internship project materials, including literature articles, code, results, findings, and slides, for a proper handover to supervisor and teammates
• 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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