Data Analyst, Department of Emergency Medicine
Work type: Full-time
Department: Department of Emergency Medicine, School of Clinical Medicine (22700)
Categories: Academic-related Staff, Research Support Staff
Applications are invited for appointment as Data Analyst (in the grade of Post-doctoral Fellow/Senior Research Assistant) in the Department of Emergency Medicine, School of Clinical Medicine (Ref.: 513804), to commence as soon as possible for one to three year(s), with the possibility of renewal subject to satisfactory performance.
Applicants should possess a Ph.D. degree in Data Science, Biostatistics, Genomics or a related discipline. They should have expertise in statistical analysis of complex biomedical data, computational biology, and an interest in cross-Omics molecular research. Experience in deep learning, genomics, and application of other artificial intelligence approaches to medical data would be an added advantage. Those with lower qualifications and/or less experience may be considered as Senior Research Assistant.
Applicants should be a driven and committed person with good oral and written communication skills in English. They should also have the ability to work independently, participate in highly collaborative projects, and contribute intellectually to research development. They need a hands-on mentality, perseverance, a critical mind-set and should be able to work well with a team of colleagues dedicated to cutting edge emergency medicine research. The appointee will investigate the molecular mechanisms of acute illness and injury using a variety of molecular and medical data. Applicants who have responded to the previous advertisement (Ref.: 511840) 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 appointment of Senior Research Assistant on a two- to three-year fixed-term basis will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary.
The University only accept online application 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 August 31, 2022, or until the post is filled, whichever is earlier.
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