Research Associate, Health Behavior Insights & AI Segmentation

Nanyang Technological University

Singapore

On-site

SGD 55,000 - 75,000

Full time

14 days+
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Job summary

NTU invites applications for a Research Associate in the Transforming Health Behaviour Insights through AI Driven Segmentation Models project. Based at the Wee Kim Wee School of Communication and Information, you will support data collection, analysis, and dissemination under the supervision of Prof Shirley S.

Ho in a large-scale Singapore-wide survey initiative. You will work with the PI and team to operationalise the survey, conduct quantitative analyses, and contribute to publications and

Qualifications

  • Master’s degree in communication, psychology, public health, or related social science.
  • Fundamentals of survey research and quantitative data analysis (SPSS, MPLUS, or R).
  • Team player with ability to work independently in a multicultural environment.

Responsibilities

  • To engage in literature searches and manuscript preparation.
  • To work with vendors to implement and oversee large-scale surveys (~5,000 participants across Singapore).
  • To conduct data cleaning, uploading, and management.
  • To conduct statistical analysis of data.
  • To coordinate with participants and stakeholders.
  • To contribute to research publications, presentations, and progress reports.
  • To engage in the dissemination of research findings with the supervision of the PI.
  • To carry out administrative work and other research tasks associated with the project.

Skills

Literature searches
Data analysis
Teamwork
Interpersonal skills

Education

Master’s degree in social sciences

Tools

SPSS
MPLUS
R

Job description

NTU invites applications for a Research Associate in the Transforming Health Behaviour Insights through AI Driven Segmentation Models project. Based at the Wee Kim Wee School of Communication and Information, you will support data collection, analysis, and dissemination under the supervision of Prof Shirley S.

Ho in a large-scale Singapore-wide survey initiative. You will work with the PI and team to operationalise the survey, conduct quantitative analyses, and contribute to publications and

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