Applications are invited for appointment as Post-doctoral Fellow in the Department of Clinical Oncology, School of Clinical Medicine (Ref.: 519430) (to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance)
Applicants should have a Ph.D. degree in Bioinformatics, Computer science, Biostatistics, Biomedical Sciences, or related disciplines, with experience in working with statistical modeling and/or genomic sequencing data analysis preferred. Preference will be given to those with research experience in cancer bioinformatics, cancer biology, cancer immunology, and cellular/molecular biology. Applicants should be self-motivated, organized, able to work independently and in a team, and multi-task with good attention to detail. They should have good interpersonal skills. Working knowledge of R and/or Python is a must. Familiarity with Linux, Bash, and the command line is preferred. Publications demonstrating genome data analysis and visualization skills would be an advantage.
The appointee will join a multidisciplinary team to study adult solid cancer and precision oncology. He/She will perform bioinformatics analysis, coordinate and communicate research with collaborators, write reports and scientific publications, and supervise postgraduate students. The appointee will conduct research under the guidance of Dr. Aya El Helali at the School of Clinical Medicine and Dr. Jason Wong at the School of Biomedical Science. Applicants who have responded to the previous advertisement (Ref.: 518845) 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 applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until May 14, 2023 or until the post is filled, whichever is earlier.