Applications are invited for appointment as Post-doctoral Fellow in the School of Public Health (Ref: 511490), to commence as soon as possible for two to three years, with the possibility of renewal subject to funding availability and satisfactory performance.
Applicants should possess a Ph.D. degree in epidemiology, biostatistics, bioinformatics, or related disciplines, with a strong background in pharmacoepidemiology and artificial intelligence. They should have a good command of written and spoken English; good interpersonal, organizational and communication skills; a strong sense of responsibility; the ability to acquire new statistical techniques through self-learning; and a demonstrated track record of publishing academic research papers. They should be able to multi-task and work independently, highly motivated, and attentive to details. Experience in analysing big data including omics data (e.g. genomics, proteomics, metabolomics) with data visualisation using R and/or Stata will be a significant advantage.
The appointee will contribute to research projects on a population-based cohort of older adults and studies of medication for global healthy aging promotion. He/She will coordinate projects, manage and analyse statistical data, write reports and manuscripts, and perform other duties as assigned. This post will provide an opportunity to gain excellent analytical experience in the medical and public health fields. Enquiries about the duties of the post should be sent to Dr. Maggie Kwok at email@example.com.
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. Review of applications will commence on January 27, 2022 and continue until March 31, 2022, or until the post is filled, whichever is earlier.