Applications are invited for appointment as Post-doctoral Fellow in the Department of Clinical Oncology, School of Clinical Medicine (Ref.: 531860), to commence as soon as possible for two years, with the possibility of renewal subject to satisfactory performance and funding availability).
The Department provides an open, supportive, dynamic and motivating academic environment with the possibility to work on the cutting-edge research project related to the spatial transcriptome study to identify the biomarkers for cancer metastasis. The activities of PDF will be integrated in a multidisciplinary team.
Applicants should possess a Ph.D. degree in Bioinformatics, Computer Science, Medical Informatics, biostatistics or a related discipline, with a good research publication record and strong programming skills. Preference will be given to those with previous experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial transcriptome analysis. Applicants should be self-motivated, able to work independently as well as in a team, and able to help supervise PhD students. They should also have excellent communication skills in written and spoken English, good trouble-shooting skills, and effective collaboration skills.
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. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V., 2 reference letters and a cover letter outlining research experience and publication record. Review of applications will start from April 29, 2025 and continue until May 13, 2025 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
