Grad Trainee & Intern

Intern or Research Assistant in AI/Digital Health

Participate in the development of health-related online platform;
Contribute to survey activities, assisting in health data collection, analysis, and interpretation;
Conduct systematic searches and comprehensive literature reviews, code and analyse both qualitative and quantitative data for meaningful insights, and present feedback based on research findings.

Students or graduates from Biomedical Engineering, Electronic Engineering, Statistics, Computer Science, Data Science, Biostatistics, Health Science, Medicine or related discipline;
Proven experience in data manipulation libraries such as Pandas and SciPy;
Experience in at least one of the following:
Systematic review or meta-analysis;
Laboratory work or medical data collection;
Data analysis and processing with R/Python/MATLAB;
Health activities and diet recommendation;
Fine-tuning and prompt engineering for Large Language Models;
Frontend development, including JavaScript, and understanding of frameworks like React or Vue; or
Designing or developing websites, mobile applications, or WeChat Xiaochengxu.
Responsible and self-initiated, with the ability to work independently and as part of a team;
Outstanding organisational skills and demonstrated ability to complete tasks in a precise and detailed manner;
Excellent communication and interpersonal skills to interact effectively with the team and collaborators; and
Fluency in both written and spoken English is a must. Proficiency in Chinese would be a definite plus.

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