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Research Associate
2 weeks ago
**Date**:25 Sep 2024
**Location**: SSHSPH, Kent Ridge Campus, SG
**Company**:National University of Singapore
Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health within the Telehealth Core:
Research Associate (NUS eHealth Projects)
At the Telehealth Core we leverage technology & design to accelerate research and improve outcomes in behavioural health & chronic diseases. We focus on delivering tailored interventions in healthcare by building digital tools and harnessing the insights from users and patients.
If you are seeking purpose and impact in your career, we may be the right team for you. Research Associate (Quantitative Analysis in Public Health).
Job Summary:
The Research Associate will play a pivotal role in supporting quantitative research projects within the field of digital public health. This position offers an opportunity to contribute to impactful research initiatives, build strong networks in healthcare and develop expertise in quantitative research methods.
**Responsibilities**:
- Research Support: Contribute to ongoing research project and RCT
- Literature Reviews: Conduct comprehensive literature reviews to identify relevant research and theories.
- Quantitative Data Analysis: Perform complex statistical analyses using STATA, R, Pytthon to extract meaningful insights from large datasets.
- Data Management: Collect, manage, and clean primary and secondary data for research projects.
- Research Communication: Contribute to the writing of research reports, policy briefs, and journal articles.
- Manuscript Preparation: Prepare manuscripts for submission to academic journals.
- Administrative Tasks: Handle administrative duties related to research projects.
Qualifications:
- Master's Degree: Possess a Master's degree in Statistics, Economics, Public Health, Psychology, or a related field from a reputable university.
- Research Experience: Have at least two years of relevant research experience as a full-time Research Associate.
- Quantitative Skills: Demonstrate proficiency in using statistical analysis software such as STATA, R or Python.
- Communication Skills: Possess excellent written and spoken English communication skills.
- Self-Motivation: Be self-motivated and detail-oriented.
- Commitment: Commit to at least one year of service.
Preferred Qualifications:
- Familiarity with social policies related to end-of-life care and health.
- Familiarity with data visualization.
- Familiarity with user analytics such as Google Analytics or similar.
Application Process:
Interested applicants should submit the following documents through the NUS Career Portal link in this post:
1. Cover letter outlining research experience and qualifications that meet this job description. Please also note salary expectation.
2. Curriculum vitae (maximum four pages).
3. Two writing samples (e.g., research essays, reports, articles with quantitative analysis that you conducted).
Company Overview
Recruitment is open immediately, and will continue until the position is filled.
**More Information**:
Location: Kent Ridge Campus
Organization: Saw Swee Hock School of Public Health
Department : Saw Swee Hock School of Public Health
Employee Referral Eligible: No
Job requisition ID : 26471