Applications are invited for appointment as Senior Research Assistant/Research Assistant I/II in the HKU-Pasteur Research Pole of the School of Public Health (Ref.: 532759), to commence as soon as possible on a one-year temporary term or two-year fixed-term contract, with the possibility of renewal subject to satisfactory performance and funding availability.
Applicants should have a Master’s degree (or Bachelor’s with significant experience) in bioinformatics, biomedical engineering, computer science, epidemiology, or a related discipline with at least one year’s post qualification experience. Applicants should have experience in biological data analysis using programming languages such as Python, R or MATLAB, and proficiency in using command line tools. Preference will be given to those with hands-on experience in genomic data analysis, deep learning frameworks, statistical modelling, population genetics, or genomic epidemiology. Applicants with strong background in data-driven biomedical research and deep learning, who are eager to contribute to interdisciplinary projects at the intersection of public health and artificial intelligence is advantageous. Applicants should be organized, highly motivated, and able to work independently as well as in an interdisciplinary team, with a good command of written and spoken English, and strong communication skills.
The appointee will join Prof. Dhanasekaran’s research team on high impact projects with global health relevance and develop work on cutting-edge projects that integrate infectious disease modeling, genomic epidemiology, and immunological data to quantify viral transmission dynamics and inform public health interventions. The appointee will contribute to the design and implementation of computational methods and pipelines for genomic data analysis in collaboration with leading experts in computational biology and epidemiology.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary.
The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until August 25, 2025, or until the post is filled, whichever is earlier.