Research Assistant (Quantitative Research) *LXQ - #1087209

Conduct literature reviews
 

• Request or acquire equipment or supplies necessary for the project
 

• Manage and respond to project-related email
 

• Track research progress over time
 

• Prepare, maintain and update research shared drive 
 

• Attend project meetings and other meetings as necessary to represent the project team
 

• Summarize project results
 

• Prepare progress reports
 

• Prepare other articles, reports and presentations
 

• Monitor the project budget
 

• Assist in preparing instruments and protocols for data collection 
 

• Assist in recruiting subjects and liaising with relevant departments 
 

• Develop or assist in the development of quantitative survey instruments and to coordinate the logistics of implementing and collating the data.
 

• Travel to field sites to collect and record data and/or samples as appropriate to the specific objectives of the study
 

• Review and clean data to ensure completeness and accuracy of information; follow up with subjects to resolve problems or clarify data collected
 

• Maintain accurate records of survey, safeguarding the confidentiality of subjects, as necessary
 

• Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary
 

• Provide ready access to all project related data for the faculty researcher and the project team
 

• As appropriate to the specified position, code and verify data in accordance with specified research protocol and coding procedures and enter data into a computer database and/or spreadsheet application for subsequent analysis
 

• May lead or guide the work of part-time employees
 

• Perform miscellaneous job-related duties as assigned
 

• Assist in preparing findings for publication 
 

• Assist in writing and contributing to publications

Requirements

• Degree Holder with related experience, ideally with institution
• Comfortable working with quantitative data
• Familiar with SPSS
• Familiar with aspects of quantitative analysis from the preparation of data to multivariate analyses

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities. 

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**We regret to inform that only shortlisted candidates would be notified.

Linda LIM
Registration Number: R1221302
EA Licence No: 06C2859 (MCI Career Services Pte Ltd)