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Research Assistant (LKYSPP)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore

On-site

SGD 20,000 - 60,000

Full time

10 days ago

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Job summary

The Lee Kuan Yew School of Public Policy at the National University of Singapore is seeking a Research Assistant to contribute to social science research projects. Responsibilities include project management, survey analysis, and general administrative support, aiming to enhance the academic output of the team. Candidates should possess a Bachelor’s degree and strong programming skills in R.

Qualifications

  • Extensive research assistant experience.
  • Strong programming skills using R; experience with other programs is a plus.

Responsibilities

  • Assist with administration, coordination, and execution of social science research.
  • Manage project tasks and conduct survey design and implementation.
  • Conduct academic research and literature reviews.

Skills

Programming skills in R
Attention to detail
Self-motivated
Excellent spoken and written English

Education

Bachelor’s degree

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy is seeking a Research Assistant who will assist with ongoing projects.

The Research Assistant will assist with the administration, coordination, and execution of social science research involving surveys, text analysis, and historical analysis. This includes:

  • General project and task management;
  • Survey design, implementation, and analysis;
  • Academic research/literature reviews.

Employee should also have training in statistics, statistics programming languages like R, and applied data analysis for social science. Additionally, the RA will also help the Principal Investigator with general administrative assistant work.

Qualifications
  • Bachelor’s degree with extensive research assistant experience
  • Demonstrate strong programming skills using R (experience with other programs is a plus)
  • Excellent spoken and written English
  • Self-motivated and attention to details
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