Connecting Odds
Company

Research Assistant I/II in the Division of Epidemiology and Biostatistics

University of Hong Kong
Hong KongPosted Discovered via the company's careers siteMatch locked
Full-timeResearch Staff

Research Assistant I/II in the Division of Epidemiology and Biostatistics of the School of Public Health

(Ref.: 537808) (to commence as soon as possible for a one-year temporary term contract, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Bachelor's degree or above, preferably in public health, epidemiology, biostatistics, statistics, health economics, geography or related disciplines. They should have an excellent command of written and spoken English and Chinese, good interpersonal, organizational and communication skills, and a strong sense of responsibility. They should be detail-oriented and able to work independently and collaboratively in a team, and to manage multiple tasks. Knowledge of quantitative skills and statistical analysis is essential, and proficiency in R (or Python/Stata) is required. Experience in project or survey coordination, survey data analysis, discrete choice experiments, latent class analysis or geospatial analysis, and health services research or health economics, is highly preferred. The appointee will assist in research on barriers to healthcare utilization in Hong Kong, focusing on financial affordability, geographic accessibility and health literacy. He/She will coordinate the day-to-day running of the project, including ethics applications, progress reports, and a population telephone survey and discrete choice experiment conducted with an external survey contractor; conduct data cleaning and management, statistical analysis (e.g. regression, latent class analysis and choice modelling), geospatial analysis of travel times and literature review; prepare publications and reports, and perform other duties as assigned. Information about the School can be obtained at https://sph.hku.hk/ . Those who have responded to the previous advertisement (Ref.: 536941) 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 University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV and academic transcripts. Review of applications will commence as soon as possible and continue until

December 31, 2026

, or until the post is filled, whichever is earlier.

Not included in the source posting: about the role, what you'll do, qualifications, benefits.

Skills

python

Who can apply

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