Assistant Research Officer, Li Ka Shing Faculty of Medicine
The University of Hong Kong 's highest priorities are to create opportunities for the very best academic talents to excel and to advance human knowledge to the benefit of society. We serve the needs of Hong Kong, the wider region and the rest of the world.
Work type: Full-time
Department: Li Ka Shing Faculty of Medicine (20000)
Categories: Academic-related Staff
Assistant Research Officer (holding the functional title of Biomedical Big Data Specialist) in the LKS Faculty of Medicine (Ref.: 501981) (to commence as soon as possible for two to three years, with the possibility of renewal subject to satisfactory performance)
The selected candidate will work in a company incorporated by the University of Hong Kong that was established to administer and support the University’s innovation endeavours.
Applicants should possess a good Bachelor’s degree, and preferably a postgraduate degree, in Bioinformatics, Computer Science, Statistics, Biomedical Engineering, Software Engineering, Life Sciences, Medical Sciences, or a related discipline. Proficiency in computer programming is required. Applicants should also be self-motivated with a strong sense of responsibility, be a good team player with the ability to multi-task, and be attentive to details. Those with solid relevant work experience in managing and analysing big data are preferred.
The appointee will play a supportive role in the establishment and management of a new bioinformatics research programme with a focus on developing innovative big data analytics for global health and precision medicine. He/She will support the programme’s lead scientist in managing multiple research projects within the laboratory, training of new research and technical staff, and overseeing the management of research data. Working off-campus may be required. Shortlisted candidates will be invited to attend an interview and/or a written test.
A competitive salary commensurate with qualifications and experience will be offered.
The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from September 3, 2020 and continue until October 31, 2020, or until the post is filled, whichever is earlier.