The incumbent will be part of a Programme Evaluation (PE) team who drives programme evaluation efforts across MOH-Family. He/She uses statistical techniques to evaluate programmes/policies or conduct developmental analytics to improve implementation, and derives insights from administrative databases, surveys, and public information to support policy decisions. He/She enjoys working with data and displays willingness to learn. He/She adopts an analytical approach to solving problems and displays confidence when communicating ideas. He/She leads important projects and collaborates with policy stakeholders to understand the context and refine the analyses.
Roles & Responsibilities
- Develop and implement the MOH-Family Programme Evaluation Framework
- Develop and implement a systematic structure of Programme Evaluation framework which can be consistently applied to various health programmes and other expenditure types
- Provide training for MOH divisions to conduct programme evaluations
- Drive programme evaluation efforts across MOH-Family
- Build programme monitoring and evaluation capabilities among MOH officers
- Plan resources that are needed to conduct various programme evaluations
- Centralise programme evaluation functions across all MOH divisions
- Plan, undertake, and communicate evaluations of MOH-family programmes and policies
- Work with policy divisions and stakeholders to design and evaluate health programmes using the most suitable methods (qualitative/quantitative studies, experimental/quasi-experimental designs)
- Conduct pre-, during-, and post-implementation monitoring and evaluation of major healthcare programmes for process, outcome, and economic evaluations, and impact assessment
- Interpret and communicate findings in light of policy decisions/context
- Develop action plans to drive process improvement, refine programme delivery, and provide evidence for decision-making to achieve the programme’s intended outcomes
- Work with stakeholders and use evaluation results to drive process improvement and decision-making
Requirements
- Graduate/Postgraduate degree in a quantitative discipline: Health Services Research, Economics, Health Economics, Statistics/Biostatistics/Bioinformatics, Mathematics, Data Science, Business Analytics, Public Health, Public Policy, or related qualifications, or relevant work experience
- 2+ years relevant working experience is a plus, especially in conducting evaluations and/or analysis in healthcare, government, or IT sectors
- Possess a wide range of analytical skills and evaluation methods. Familiarity with both qualitative and quantitative study designs will be an advantage
- Good stakeholder engagement, communication, and presentation skills
- Able to work independently in a fast-paced working environment, and effective as a team player
