THE UNIVERSITY OF HONG KONG

Post-doctoral Fellow, Department of Clinical Oncology

Location
Pok Fu Lam, Hong Kong
Posted
04 Jan 2022
End of advertisement period
31 Jan 2022
Ref
511416
Contract Type
Fixed Term
Hours
Full Time

Work type: Full-time
Department: Department of Clinical Oncology (21600)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow (PDF) in the Department of Clinical Oncology (Ref.: 511416), to commence as soon as possible for one year, with the possibility of renewal. 

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 Biomedical Sciences, Bioinformatics, Computer Science, 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.  Those who had responded to previous advertisement (Ref: 508857) need not re-apply.

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 post.  Applicants should apply online 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 January 17, 2022 and continue until January 31, 2022, or until the post is filled, whichever is earlier.