Health Services Researcher, CHI Evaluation Office

Job Title

Health Services Researcher, CHI Evaluation Office

Institution: Tan Tock Seng Hospital

Family Group: Administration

The Centre for Healthcare Innovation (CHI) is committed to catalysing and driving innovation for systems change in healthcare, thereby adding years of healthy life. Built on the foundation of co-learning and collaboration, CHI’s core is in facilitating innovation through its suite of platforms and programmes. CHI has built a dynamic network of local and international partners who are dedicated to fostering innovation, creating thought leadership, co-building initiatives to inculcate and embed a culture of innovation within healthcare. We spearhead innovation by driving the adoption of the CHI Innovation Cycle, care and process redesign and in the use of technology. CHI leads transformation at the care, systems and ecosystem levels to achieve better health and healthcare. The CHI Evaluation Office will embed robust, fit-for-purpose evaluation into the innovation lifecycle—turning experimentation into actionable insights, accelerating adoption, and strengthening accountability for results.

Reporting to the Lead, CHI Evaluation Office, the Health Services Researcher will play a crucial role in bridging the gap between healthcare innovation and practical implementation. The successful candidate will conduct comprehensive economic and process evaluations using quantitative and qualitative methods, perform budget impact analyses, and disseminate knowledge through various channels. They will work collaboratively with multidisciplinary teams to support project design, enhance service and patient outcomes, and build compelling business cases for healthcare innovations. The ideal candidate should possess a strong background in health economics and mixed-methods evaluation using healthcare data. This position offers an exciting opportunity to contribute to the improvement of healthcare delivery and outcomes, working at the forefront of healthcare innovation evaluation.

• Health Services Research Evaluation:
• Design and conduct various implementation and economic evaluations, including cost-effectiveness, cost-consequence analysis and process evaluation to effectively evaluate the interventions' costs, health outcomes and factors affecting those outcomes
• Support budget impact analysis by estimating total costs of implementing interventions at scale and project financial impact over multiple years
• Conduct modelling and forecasting through Markov models, decision trees and microsimulation models
• Data Collection and Analysis:
• Implement data collection systems and processes to gather relevant quantitative and qualitative data on program processes, performance and outcomes
• Contribute to statistical techniques and tools to analyse large healthcare datasets
• Use qualitative data analysis methods to understand factors driving implementation outcomes
• Employ data visualisation tools to create clear, insightful representations of complex healthcare data
• Knowledge Dissemination:
• Prepare comprehensive evaluation reports that clearly communicate the processes, impacts and outcomes of healthcare innovations
• Develop executive summaries and presentations for senior management and stakeholders
• Contribute to the writing of academic papers for publication in peer-reviewed healthcare and innovation journals
• Prepare and deliver presentations at conferences and workshops to share insights and methodologies
• Contribute to the office's knowledge base by documenting best practices in healthcare innovation evaluation

• A PhD in Health Economics, Implementation Science or closely related fields. A master's degree may be considered with exceptional relevant experience
• Minimum 5-10 years of experience in health services research evaluation, preferably in a healthcare, academic, or research setting
• Demonstrated experience in conducting health services research evaluations of healthcare interventions or programmes
• Track record of developing and using economic models for healthcare decision-making
• Experience in analysing qualitative datasets from healthcare stakeholders
• Experience in analysing large healthcare datasets and interpreting complex health data
• Proven ability to communicate evaluation concepts to both technical and non-technical audience
• Advanced training in health services research evaluation methodologies, including cost-effectiveness analysis and process evaluation
• Proficiency in qualitative analysis software packages such as NVivo
• Proficiency in statistical software packages such as Stata, R, or SAS
• Ability to present complex information to diverse audiences and experience in writing reports and academic papers