Hong Kong University

Hong Kong University

Research Assistant I/II

Hong Kong

Closing in 73 days

Research Assistant I/II

The University of Hong Kong

Apply now Ref.: 523048 Work type: Full-time Department: School of Public Health (22400) Categories: Research Staff Hong Kong

Research Assistant I/II in the School of Public Health (Ref.: 523048) (to commence as soon as possible for one year on temporary basis, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a Bachelor's degree or above in public health, statistics, or other related disciplines in life/medical sciences. They should have an excellent command of written and spoken English, good interpersonal, organizational and communication skills, and a strong sense of responsibility and interest in the said research area. They should be detail-orientated and able to work collaboratively in a team. Experience in infectious disease epidemiology and statistical analysis would be an advantage. Quantitative skills and proficiency in statistical or computer modelling software (e.g., R, Python, SAS, Stata, SPSS, Matlab, C++) are highly preferred.

The appointee will assist in studies investigating the epidemiology and control of COVID-19. He/she will assist to analyze statistical data and prepare publications and reports. Information about the School can be obtained at https: // sph.hku.hk/.

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 start as soon as possible and continue until December 10, 2023 , or until the post is filled, whichever is earlier.

Advertised: Sep 14, 2023 (HK Time) Applications close: Dec 10, 2023 (HK Time)

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Job details


Research Assistant I/II


Hong Kong University


Hong Kong


September 14, 2023

Application deadline

December 10, 2023

Job type



Mathematics,Medicine,Social Science

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