Data Scientist (at the rank of Assistant Research Officer) in the Hong Kong Jockey Club Global Health Institute (HKJCGHI) of the School of Public Health

The University of Hong Kong

Apply now Ref.: 536890

Work type: Full-time

Department: School of Public Health (22400)

Categories: Research Staff

Hong Kong

Data Scientist (at the rank of Assistant Research Officer) in the Hong Kong Jockey Club Global Health Institute (HKJCGHI) of the School of Public Health (Ref.: 536890), to commence as soon as possible on a one-year temporary or two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance.

HKU has partnered with the International Vaccine Institute (IVI) and The University of Cambridge to establish the HKJCGHI, with funding support from The Hong Kong Jockey Club Charities Trust. IVI is a non-profit international organization dedicated to vaccines and vaccination for global health. The Epidemiology, Public Health and Impact (EPIC) Unit of IVI coordinates HKJCGHI’s work streams in epidemiology,



pandemic preparedness and capacity building.

Applicants should possess a Master’s degree in Epidemiology, Biostatistics, Applied Mathematics, Computer Science, Public Health or a related field with a robust quantitative focus. A PhD degree in a relevant discipline would be desirable but is not required. Applicants should have 3-5 years of experience in mathematical modeling and/or statistical inference relevant to epidemiological studies of infectious diseases, with a proven track record of leading research projects and publishing in peer-reviewed journals.

Applicants should have expertise in study design, as well as in the formulation and implementation of mathematical or computational models of infectious diseases. They should also have an interest in, or experience with, integrating climate change variables, sociodemographic factors, and other area-level covariates into disease modeling. Experience working wi

📌 Data Scientist (Dimapur)
🏢 School of Public Health, The University of Hong Kong
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