Senior Research Assistant/Research Assistant I/II (holding the functional title of Senior Data Analyst/Data Analyst) (several posts) in the School of Public Health (Ref.: 508701) (to commence as soon as possible on a one-year temporary basis or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance)
Applicants should possess a Bachelor’s degree or above in statistics, biostatistics, or related disciplines, with at least 3 years’ work experience. They should have a strong quantitative background, good communication and data visualization skills, the ability to present abstract concepts in an accessible way to all organizational levels, and the ability to acquire new statistical techniques by self-learning. They should be responsible, mature, attentive to details, and able to work independently and in collaboration with a multidisciplinary team. Knowledge of multilevel modelling, time series analysis, demographic methods, missing data analysis, and fundamental machine learning is essential. Experience in epidemiological data analysis of large datasets using R and/or STATA is highly preferred. Those with less experience may be considered as Research Assistant I/II. Fresh graduates are also welcome.
The appointees will work on a large population-based cohort with over 46,000 participants in 20,000 households and assist in the applied epidemiological and/or statistical research. They will conduct statistical analyses, generate tables and figures, draft method and result sections for publications and reports, manage internal and external data transfers, assist in data and computer security, and perform other duties as assigned. Enquiries about the duties of the posts should be sent to email@example.com. Those who have responded to the previous advertisement (Ref.: 504102) 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 on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme totalling up to 10% of basic salary.
The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will commence as soon as possible and continue until December 31, 2021, or until the posts are filled, whichever is earlier.