Research Assistant I/II (several posts) in the Department of Psychiatry, School of Clinical Medicine (Ref: 537793) (to commence as soon as possible for one year, with the possibility of renewal subject to funding availability and satisfactory performance)
Applicants should possess a Bachelor’s degree in Data Science, Computer Science, Biostatistics or other related disciplines. They should demonstrate strong analytical and problem-solving skills, proficiency in programming language (e.g. R, Python), and training in epidemiological data analysis or applied biostatistics. Applicants should be self-motivated, capable of working independently while effectively prioritizing multiple tasks, and possess an excellent command of written and spoken English and Chinese (including Cantonese). Strong organizational, communication, and interpersonal skills are essential. Fresh graduates are welcome to apply.
The appointee will work under the supervision of Professor Heidi Lo and be responsible for conducting advanced data analyses, supporting research activities, and performing other duties as assigned. The research team conducts large-scale electronic health record studies focusing on depression and physical health, using Cox proportional hazards models, longitudinal life-course analysis, and propensity score matching. The team has an established track record of publishing in leading international journals. Outstanding candidate may have opportunities to contribute to academic manuscripts and publications arising from these projects.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start on November 20, 2026 and continue until December 31,2026, or until the post is filled, whichever is earlier.
