Research Assistant I/II in the Department of Medicine (Ref.: 502771) (to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance)
Applicants should possess a Bachelor’s degree or above in Public Health, Epidemiology, Biostatistics, Health Economics or related disciplines. They should have excellent written and oral communication skills; a strong quantitative background; experience in analyzing statistical data through advanced programming (R, SAS, Stata, Python or other packages); demonstrated a high level of expertise in analysis of large and complex datasets; and the ability to work independently and in collaboration with a multidisciplinary team. Relevant experience in big-data manipulation or decision analytics with a track record of publications would be advantageous. Those with higher qualifications or more experience may be considered for appointment as Research Assistant I.
The appointee will join an internationally active team of researchers in the development studies on big data and simulation modeling in health service, under the supervision of Dr. Shirley Li. He/She will be responsible for application and validation methodology on electronic medical records-based cohort studies through classic and novel epidemiologic study designs; and data manipulation and visualization. He/She will also prepare scientific publications, grant proposals and reports; provide general administrative and operational support; and perform other duties as assigned. Enquiries about the duties of the post should be directed to Dr. Li 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. and other relevant documents as necessary. Review of applications will start as soon as possible and continue until February 28, 2021, or until the post is filled, whichever is earlier.