Post-doctoral Fellow in the Department of Clinical Oncology, School of Clinical Medicine (Ref.:537833) (to commence as soon as possible on a temporary basis for three years, with the possibility of renewal subject to satisfactory performance and funding availability).
Applicants should possess a Ph.D. degree in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics, Statistics, Computer Science, or a related discipline. Priority will be given to those with an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer immunology, deep learning models and/or artificial intelligence. Applicants should be responsible, self-motivated, well-organized, able to work independently and in a team, while demonstrating excellent multitasking abilities and meticulous attention to detail. They should have good interpersonal skills and excellent communication skills in written and spoken English, good troubleshooting and laboratory skills, and effective collaboration skills.
The appointee will work under the supervision of Professor Xin-yuan Guan on a project related to Tumor immune microenvironment of nasopharyngeal carcinoma, design/refine the research instruments, coordinate data collection and analysis, support the organization of dissemination events, assist in the preparation of reports, and perform other duties as assigned by the supervisor.
A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.
The University only accepts online application for the above post. Applicant should apply online at the University’s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until November 30, 2026, or until the post is filled, whichever is earlier.
The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency
