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A leading healthcare organization in Singapore is looking for a candidate to support the Fees and Charging Policy team. This role involves developing policies on healthcare fees and subsidies, analyzing financial data, and supporting various healthcare initiatives. Candidates should possess a relevant Bachelor's degree, with a strong background in finance or data analytics and a commitment to excellence.
You will support the Fees and Charging Policy team lead in developing policies related to healthcare fees, subsidy frameworks and costing guidelines across SingHealth institutions. Your role involves analysing fee revisions, subsidy frameworks, and national costing guidelines across various clinical services, including conducting feasibility studies on fee caps, analysing patient bills, and benchmarking healthcare charges against institutional data and market norms. You will manage fee revision exercises across SingHealth institutions, which includes data consolidation, analysis, and submission of returns to MOHH. Additionally, you will maintain the fee database and communicate approved pricing updates to relevant institutions.
You will also provide secretariat support for the SingHealth Cluster Charging Workgroup, coordinating inter-institutional fee standardisation initiatives that align with the National Billing System and EPIC implementation. You will also contribute to Population Health initiatives by reviewing pricing strategies, developing patient financing schemes, and building financial models.
Job requirements:
Bachelor’s Degree in Finance, Business Administration, Engineering or Accounting with at least 6 years of relevant working experience in Finance/ Business Administration or Data Analytics field
Candidates with a Master’s in Public Health or Health Economics are welcome to apply
Relevant policy development and research experience in a public healthcare setting or public health administration roles is advantageous
Prior experience in pricing, fees benchmarking, management accounting, reporting, costing, economic reviews, financial modelling and multi-variate analysis
Proficient in Microsoft Office applications, SAP and Data manipulation and visualization applications such as Tableau, Power BI, Power-pivot DAX or Python
Resourceful with the ability to think innovatively
Results-driven with strong commitment to excellence