Live opening · Posted 2 days ago

enior Research Assistant/Research Assistant I/II (holding the functional title of Senior Data Analyst/Data Analyst) (several posts) in the Division of Community Medicine and Public Health Practice

School of Public Health, The University of Hong Kong · Dimapur, Nagaland, India (On-site)
Linkedin No
JobBeeper subscribers received an alert for this role.

At a glance

The key details from the original listing.

Posted 2 days ago
CompanySchool of Public Health, The University of Hong Kong
LocationDimapur, Nagaland, India (On-site)
Work modeNo
SkillsPython
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

Senior Research Assistant/Research Assistant I/II (holding the functional title of Senior Data Analyst/Data Analyst) (several posts) in the Division of Community Medicine and Public Health Practice
The University of Hong Kong
Apply now Ref.: 537631
Work type: Full-time
Department: School of Public Health (22400)
Categories: Research Staff
Hong Kong
Senior Research Assistant/Research Assistant I/II (holding the functional title of Senior Data Analyst/Data Analyst) (several posts) in the Division of Community Medicine and Public Health Practice, School of Public Health (Ref.: 537631) (to commence as soon as possible on a one-year temporary term or two-year fixed-term contract, with the possibility of renewal subject to funding availability and 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 visualisation skills, the ability to present abstract concepts in an accessible way to all organisational levels and 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 and other statistical methods for longitudinal data analysis; familiarity with time series analysis and complex survey design and weighting is preferred. Experience in epidemiological data analysis of large datasets using R and/or STATA is highly preferred, competency in Python and SAS could be an advantage. Those with less experience may be considered as Research Assistant I/II.
The appointees will work on various projects under FAMILY Cohort, 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 parts of the method and result sections for publications and reports, manage internal and external data transfers, ensure data compliance and cohort database security, and perform other duties as assigned. Enquiries about the duties of the posts should be sent to familyco@hku.hk. Those who have responded to the previous advertisement (Ref.: 536806) 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 applications for the above posts. Applicants should apply online and upload an up-to-date CV. Review of applications will commence as soon as possible and continue until January 14, 2027, or until the posts are filled, whichever is earlier.
Advertised:Oct 15, 2026 (HK Time)
Applications close:Jan 14, 2027 (HK Time)
Back to search results Apply now
Whatsapp Facebook LinkedIn Email App

Work arrangement
No

Your early-applicant advantage

Live timing from JobBeeper.

Live data
3 min from Linkedin publishing this role to us finding it
10 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
45,864 roles found in the last 24 hours — the newest are not on this site yet
See available plans →

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Create free account →
⚡ Get fresh job alerts 📱 Get App