Postdoctoral Fellow(s) / Research Associate(s) (carrying the job title of 'Data Analyst')
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Before you apply
LocationUnknown
Typefull-time
SeniorityEntry
DepartmentSocial Work
Company size10,000+ people
First seenOct 30, 2026 · 4d ago
Verified live18h ago
At a glanceSummarised by Seekless from the posting.
PhD in Social Work, Welfare, Public Health, Social Science, Computational Social Science, or related discipline
Believing in the values of creating social good and social innovation
Commitment to promote children and youth development
Commitment to ethical research practices
Curious and innovative, eager to explore research methodologies
Collaborative and open to interdisciplinary teamwork with academic and community partners
Excellent command of both written and spoken English
Excellent command of both written and spoken Chinese (Cantonese or Putonghua)
Advanced longitudinal data analysis (e.g., RI-CLPM, fixed effect model, PSM, DID, LTA, longitudinal LCA, LGMM, LGCM, etc.)
Computational social science data analysis (e.g., textual analysis, BERT, machine learning, social network analysis, etc.)
Advanced research skills including qualitative and quantitative research method
Strong academic writing and presentation skills
Effective communication skills to translate complex research findings for diverse stakeholders
In-depth understanding of children and youth development theories
Familiarity with social science research methodologies and evaluation frameworks for community-based projects
Skills
R
Mplus
Stata
AWS
BERT
Machine Learning
About the role
The Department of Social Work invites applications for the position of two Postdoctoral Fellow(s)/Research Associate(s), who will support the implementation of 21C@ JC evaluation research & data-informed practice of 21st century integrated children and youth services centers (ICYSCs) 2.0 (Phase 2). It is a four-year project initiated and funded by The Hong Kong Jockey Club Charities Trust. This project for Phase Two of 21C@JC aims to build a user-centric, data-informed service model across 128 Integrated Children and Youth Services Centres (“ICYSCs”), generating system-level impact to improve life trajectory outcomes for children and youth (the “Project”).
Requirements
Applicants should have (i) a PhD in Social Work/Welfare, Public Health, Social Science, Computational Social Science, or a related discipline; and (ii) the following attributes:
•
Values: Believing in the values of creating social good and social innovation; having a commitment to promote children and youth development; and a commitment to ethical research practices;
•
Attitudes: Curious and innovative, eager to explore research methodologies; collaborative and open to interdisciplinary teamwork with academic and community partners;
•
Skills: Excellent command of both written and spoken English and Chinese (Cantonese or Putonghua); advanced longitudinal data analysis (e.g., RI-CLPM, fixed effect model, PSM, DID, LTA, longitudinal LCA, LGMM, LGCM and etc.) and computational social science data analysis (e.g., textual analysis, BERT, machine learning, social network analysis and etc.); advanced research skills, including qualitative and quantitative research method; strong academic writing and presentation skills; and effective communication skills to translate complex research findings for diverse stakeholders;
•
Knowledge: In-depth understanding of children and youth development theories; familiarity with social science research methodologies and evaluation frameworks for community-based projects.
Responsibilities
The appointee will assist the Principal Investigator (PI) and the PI’s team with (a) coordinating various research tasks, including (but not limited to) collecting ICYSCs’ service data and online data via TO_MO, conducting surveys of youth participants and key stakeholders, developing the data management system and data integration, and processing data and analysis of the whole project; (b) designing survey strategy and questionnaire; © monitoring data collection process and data quality; (d) managing data storage, data cleaning and validation; (e) liaising with the funder, strategic partners, and community; (f) generating ongoing project statistics for reference by the funder, research team, ICYSCs, and research partners; (g) developing, pilot-testing and validating outcome indicators; (h) collaborating with other team members to integrate data with other research findings; (i) analysing integrated data with advanced statistical model (e.g., different longitudinal analysis and big data analysis) and software (e.g., R, Mplus, Stata, & AWS) ; (j) compiling interim and final project reports; (k) drafting research manuscripts for presentation/publication in conferences/journals; and (l) performing other tasks as assigned.
Appointment will initially be made on contract basis for two years, renewable subject to good performance, funding availability and mutual agreement.
Hiring process
The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.
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