138 Research Evaluation jobs in Singapore

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Job Description
Research and Evaluation Consultant (external)
Location : Saw Swee Hock School of Public Health, National University of Singapore
Position Type : 6-month contract (renewable based on performance and project needs), with possibility of 1-year extension.
5k/month, 4 days a week
About the Role
The Saw Swee Hock School of Public Health is seeking a Research and Evaluation Consultant to support a multi-country study focused on community needs assessment and the evaluation of a global health intervention aimed at improving access to safe drinking water.
The initiative combines portable water filtration technology with capacity-building on water treatment and sanitation, and is implemented across hospital, rural, and school settings in Southeast Asia in collaboration with UNICEF, the World Health Organization, and local partners. The evaluation aims to understand community needs, perceptions, and behavioural drivers related to water insecurity and use of filtration systems, while also assessing the adoption, effectiveness, cost-effectiveness, environmental impact of the intervention.
This role offers a unique opportunity to gain hands-on experience in program evaluation, field-based public health research, and cross-country collaboration with international partners across Southeast Asia, along with exposure to other global health research initiatives within the school.
Key Responsibilities

• Oversee the baseline community assessment and overall evaluation of the intervention, working closely with the PI and local research teams
• Manage field-based data collection, including surveys, interviews, focus groups observational assessments
• Design and validate survey instruments and context-appropriate evaluation indicators
• Conduct quantitative data analysis of the longitudinal survey and monitoring data
• Draft evaluation reports, policy briefs, and technical documentation
• Create data visualizations to communicate results to stakeholders
• Work collaboratively with economic evaluation experts and qualitative researchers to integrate quantitative findings into a broader mixed-methods evaluation framework
• Support capacity-building efforts for local field teams and partners in evaluation design and data collection

Why Join Us?
You’ll be part of a dynamic, high-trust team at one of Asia’s top public health schools. This is a unique opportunity to shape real-world impact through applied research—working closely with frontline communities, public agencies, and international collaborators. We value curiosity, equity, and collaboration, and are committed to building inclusive, evidence-based solutions for healthier, more resilient communities.
To Apply
Please send your CV and a brief statement of interest.
Only shortlisted candidates will be contacted. Applications reviewed on a rolling basis.
Qualifications
Requirements
Master’s degree in Public health, Epidemiology, Data Science/Analytics, Psychology, or other related disciplines
Minimum 3 years of research experience, preferably in program evaluation, public health or applied social science
Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python)
Expertise in quantitative analysis, with preferred skills in
Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM)
Social Network Analysis/ Structural Equation Modelling (SEM)/Multilevel Modelling (MLM)
Willingness to conduct fieldwork in rural or low-resource settings (required travel for up to 1 week 2-3 times a year) - familiarity with Laos or Southeast Asia is a plus
Strong project management skills and comfortable with engaging multiple-stakeholders and community partners
Exposure to qualitative or mixed-methods research is an advantage
Apply now
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You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.

The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.

Key responsibilities include:

• Designing and implementing data architectures to support business objectives.
• Developing and maintaining complex models using machine learning algorithms.
• Analyzing large datasets to identify trends and insights.

Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.

In addition to technical skills, strong communication and collaboration skills are essential for success in this role.

Job Role: Data Analysis Professional

As a Data Analysis Professional, you will be responsible for collecting and reviewing data to inform business decisions. You will utilize various data analysis tools such as Excel, ACL, and Tableau to perform audits and provide actionable insights.

• Data Collection and Review


• Audit Planning and Execution


• Analysis of Audit Findings


• Identification of Issues and Suggestions for Process Improvements


• Support in Finalizing Audit Reports and Gathering Management Responses

• Background in Accounting or Business Studies


• Proficiency in Microsoft Excel

Why This Role?

This is an excellent opportunity for those interested in data analysis and audit work. You will have the chance to develop your skills in data collection, review, and analysis, as well as contribute to improving processes within the organization.

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.

The National University of Singapore (NUS) Department of Biomedical Engineering invites applications for one (1) Research Fellow position to lead device development and evaluation. He/she is required to
• Conduct device design and development, particularly in the area if soft robotics and sensors.
• Perform trial evaluation and date analysis.
• Craft journal manuscripts for publication.

• Possess a PHD in relevant field.
• Has prior experience in device development and subject testing.
• Strong written and spoken communications.
• Has prior experience with product development, subject testing and customer validation is preferred.
• Open to fixed-term contract.

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO :

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82@yahoo.com