Part-Time Data Science Research Assistant – AI & Stats

Hong Kong Metropolitan University; Hong Kong; On-site; HKD 83,000 - 138,000; Part time

Job summary

Hong Kong Metropolitan University (HKMU) invites applications for Part-time Research Assistant(s) I/II. The role focuses on developing an AI-powered, interactive metaverse for translation technology, with responsibilities in performing statistical analyses and contributing to scientific publications.

The appointee will handle data cleaning, analysis, and presentation of results, while ensuring ethical standards and high-quality reporting.

Qualifications

• A bachelor’s degree in Statistics, Data Science, Psychology, Social Sciences, or a related quantitative field.
• A master’s degree in the same areas is preferred.
• Experience with publication is preferred.
• Proficiency in at least one statistical software package (R, Stata, SPSS, SAS, or Python).
• Strong written communication, attention to detail, and ability to work independently.

Responsibilities

• Perform statistical analyses on provided datasets, including pre–post outcome analyses and various tests (t-tests, ANOVA, regression).
• Prepare tables, figures, and summaries for manuscripts and reports.
• Contribute to writing the methods and results sections for publications.
• Ensure analyses adhere to best practices and ethical standards.

Skills

Statistical analysis

Academic writing

Attention to detail

Independent work

Education

Bachelor's degree in Statistics/Data Science/ Psychology/ Social Sciences

Master's degree in Statistics/Data Science/ Psychology/ Social Sciences

Tools

R

Stata

SPSS

SAS

Python

Job description

Hong Kong Metropolitan University (HKMU) invites applications for Part-time Research Assistant(s) I/II. The role focuses on developing an AI-powered, interactive metaverse for translation technology, with responsibilities in performing statistical analyses and contributing to scientific publications.

The appointee will handle data cleaning, analysis, and presentation of results, while ensuring ethical standards and high-quality reporting.