Health Economics Analyst – Outcomes and Cost Evaluation
MNC JOBS INFO
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Benefits offered by this job
Job summary
MNC JOBS INFO in Singapore is seeking a detail-oriented Health Economics Analyst - Outcomes and Cost Evaluation to support healthcare research, economic evaluations, and evidence-based decision-making. The role focuses on assessing the value of interventions by analysing costs, outcomes, and resource use.
You will work with health economists, researchers, and market access teams to develop economic models, perform budget impact analyses, and generate clear reports for stakeholders.
Qualifications
- Bachelor’s degree in Economics, Health Economics, Public Health, Pharmacy, Life Sciences, Statistics, Biostatistics, Healthcare Management or related field.
- Master’s degree in Health Economics, Health Services Research, Public Health, Health Policy, Economics or related discipline preferred for advanced responsibilities.
- Training or certifications in health economic modelling/outcomes research/HTA will be advantageous.
Responsibilities
- Conduct cost-effectiveness, cost-utility, cost-benefit, and cost-consequence analyses.
- Compare clinical and economic outcomes of alternative strategies.
- Estimate ICERs and interpret QALYs where appropriate.
- Support development of decision-analytic models (e.g., decision trees, Markov models).
- Assess economic implications of changes in practice, guidelines, and delivery models.
- Analyze clinical outcomes, patient-reported outcomes, and health-care utilisation data.
- Support real-world evidence studies using observational data, registries, claims, EHRs.
- Identify meaningful health outcome measures for stakeholders.
- Collaborate with teams to interpret evidence and identify improvement opportunities.
- Prepare HTA submissions, reimbursement dossiers, and market access evidence.
- Contribute to research protocols, reports, abstracts, posters, and manuscripts.
- Ensure reporting aligns with standards and guidelines.
Skills
Education
Tools
Job description
MNC JOBS INFO is seeking a detail-oriented and analytical Health Economics Analyst - Outcomes and Cost Evaluation to support healthcare research, economic evaluations, and evidence-based decision-making. The successful candidate will contribute to assessing the economic value of healthcare interventions, medical technologies, pharmaceutical products, and healthcare delivery strategies by analysing clinical outcomes, treatment costs, resource utilisation, and patient-reported outcomes.
In this role, the analyst will work with healthcare researchers, health economists, clinical specialists, statisticians, market access teams, and other stakeholders to generate reliable evidence that supports healthcare investment decisions, reimbursement strategies, and resource allocation. The position involves conducting cost-effectiveness analyses, cost-utility assessments, budget impact evaluations, and outcomes research using appropriate analytical methods and validated data sources.
The ideal candidate will have a strong interest in health economics, healthcare data analysis, and health outcomes research. They should be comfortable interpreting complex datasets, preparing technical reports, and communicating analytical findings to both technical and non-technical audiences.
This opportunity is suitable for professionals with backgrounds in health economics, economics, public health, health services research, biostatistics, pharmacy, life sciences, or related disciplines who are interested in improving healthcare value through rigorous economic evaluation.
Conduct cost-effectiveness, cost-utility, cost-benefit, and cost-consequence analyses to evaluate healthcare interventions and treatment options.
Compare the clinical and economic outcomes of alternative healthcare strategies, medicines, medical devices, and treatment pathways.
Estimate incremental cost-effectiveness ratios (ICERs) and interpret incremental health outcomes, including quality-adjusted life years (QALYs), where appropriate.
Support the development of decision‑analytic models, including decision trees, Markov models, and other suitable modelling approaches.
Assess the economic implications of changes in clinical practice, treatment guidelines, and healthcare delivery models.
Analyse clinical outcomes, patient-reported outcomes, treatment effectiveness, quality of life, and healthcare utilisation data.
Support real‑world evidence studies using observational datasets, registries, claims data, electronic health records, and other relevant healthcare information sources.
Identify meaningful healthcare outcome measures and assess their relevance to patients, providers, payers, and healthcare decision‑makers.
Evaluate treatment pathways, disease burden, hospitalisation rates, adverse events, and other indicators that may influence healthcare costs and outcomes.
Collaborate with research teams to interpret clinical and economic evidence and identify opportunities for improving patient outcomes.
Collect, validate, and analyse direct medical costs, indirect costs, treatment expenses, hospitalisation costs, and healthcare resource utilisation data.
Develop budget impact models to estimate the financial consequences of adopting new healthcare interventions.
Assess the potential economic impact of introducing new medicines, diagnostic technologies, treatment protocols, and healthcare services.
Conduct scenario analyses to examine how changes in patient populations, treatment costs, clinical effectiveness, and market uptake may influence results.
Identify the key cost drivers affecting healthcare expenditure and recommend areas for further investigation.
Extract, clean, organise, and validate datasets obtained from clinical studies, healthcare databases, published research, and other approved sources.
Apply appropriate statistical and analytical methods to identify trends, relationships, cost patterns, and outcome differences.
Use analytical tools such as Microsoft Excel, R, Python, SAS, or Stata, depending on project requirements.
Perform sensitivity analyses, uncertainty assessments, and scenario testing to evaluate the robustness of economic models.
Maintain clear documentation of assumptions, data sources, calculations, model structures, and analytical decisions.
Conduct structured literature reviews to identify relevant clinical evidence, economic evaluations, treatment costs, and published health outcomes.
Review scientific publications, clinical guidelines, health technology assessment reports, and economic evaluation studies.
Support the preparation of health technology assessment (HTA) submissions, reimbursement dossiers, value assessment reports, and market access evidence.
Contribute to research protocols, analytical plans, technical reports, abstracts, posters, and scientific manuscripts.
Ensure that research outputs are consistent with applicable methodological standards, project requirements, and relevant reporting guidelines.
Work closely with multidisciplinary teams to define research objectives, analytical approaches, project timelines, and expected deliverables.
Present findings through clear reports, data visualisations, tables, charts, and presentations.
Explain complex economic concepts and analytical results in accessible language for non‑technical stakeholders.
Incorporate feedback from reviewers, clients, researchers, and project leads into final deliverables.
Maintain confidentiality and follow applicable data protection, research ethics, and quality assurance requirements.
A bachelors degree in Economics, Health Economics, Public Health, Pharmacy, Life Sciences, Statistics, Mathematics, Biostatistics, Healthcare Management, or a related field is required.
A masters degree in Health Economics, Health Services Research, Public Health, Health Policy, Economics, or a related discipline is preferred for advanced analytical responsibilities.
Relevant training or certifications in health economic modelling, outcomes research, statistical analysis, or health technology assessment will be an advantage.
Understanding of health economic evaluation methods, including cost‑effectiveness and cost‑utility analysis.
Knowledge of healthcare cost structures, resource utilisation, clinical outcomes, and economic evaluation principles.
Familiarity with incremental cost‑effectiveness ratios, QALYs, discounting, sensitivity analysis, and budget impact modelling.
Proficiency in Microsoft Excel, including formulas, pivot tables, data validation, and analytical reporting.
Experience with statistical or programming tools such as R, Python, SAS, or Stata is desirable.
Familiarity with data visualisation tools such as Power BI or Tableau is an advantage.
Ability to interpret scientific literature, research datasets, and statistical results accurately.
Strong report‑writing skills and the ability to communicate evidence‑based findings clearly.
Excellent analytical thinking and problem‑solving abilities.
Strong attention to detail and commitment to data accuracy.
Effective written and verbal communication skills.
Ability to manage multiple assignments and meet project deadlines.
Strong organisational skills and a systematic approach to research.
Willingness to learn new analytical techniques, healthcare technologies, and research methodologies.
Ability to work independently while contributing effectively to a multidisciplinary team.
Candidates with varying levels of experience may be considered, depending on the specific requirements of the position.
Fresh graduates with relevant educational qualifications and a strong interest in health economics may be considered for junior‑level opportunities.
Academic projects, internships, dissertations, or research assignments involving healthcare data, economic analysis, statistics, or public health will be beneficial.
Candidates should demonstrate foundational knowledge of data analysis, research methods, and healthcare systems.
Approximately 2-5 years of relevant experience in health economics, health outcomes research, healthcare analytics, clinical research, pharmaceutical research, or related fields is preferred.
Experience conducting economic evaluations, analysing healthcare costs, preparing research reports, or supporting HTA projects is desirable.
Familiarity with statistical software and economic modelling techniques will be an advantage.
Candidates with more than five years of relevant experience may be considered for senior analytical responsibilities.
Experience leading health economic modelling projects, reviewing analytical outputs, managing research deliverables, or advising stakeholders is desirable.
Demonstrated experience supporting reimbursement submissions, market access strategies, or healthcare policy evaluations will be beneficial.
The precise experience requirement will depend on the seniority and scope of the position.
Employment Type: Full‑time, with part‑time arrangements subject to project requirements and organisational policy.
Work Schedule: Standard business hours, with flexibility depending on team location, client requirements, and project deadlines.
Work Arrangement: Remote, hybrid, or office‑based, depending on the position and the employers operational requirements.
Weekly Schedule: Typically five working days per week.
Flexibility: Occasional schedule adjustments may be required to coordinate with international research teams or attend project meetings.
Project Deadlines: Employees are expected to plan workloads effectively and complete research deliverables within agreed timelines.
Final working hours, employment arrangements, and location requirements will be communicated during the recruitment process.
Understanding of healthcare financing, economic evaluation, healthcare resource allocation, and value‑based healthcare principles.
Ability to distinguish between cost‑effectiveness, cost‑utility, cost‑benefit, and budget impact analyses.
Familiarity with healthcare systems, treatment pathways, patient populations, and clinical outcome measures.
Awareness of health technology assessment processes and the role of economic evidence in healthcare decision‑making.
Ability to interpret complex datasets and identify relevant economic and clinical patterns.
Capability to assess the effect of assumptions and uncertainty on analytical conclusions.
Ability to construct, validate, or contribute to economic models appropriate to a research question.
Competence in translating numerical findings into practical recommendations.
Ability to recognise data limitations, potential bias, and uncertainty in research findings.
Ability to conduct literature searches and critically assess published evidence.
Strong technical writing skills for reports, presentations, and research documentation.
Ability to explain modelling assumptions, cost estimates, and study limitations transparently.
Commitment to maintaining accurate records and producing reproducible analytical work.
High standards of integrity, confidentiality, and professional accountability.
Respect for research ethics and applicable healthcare data privacy requirements.
Ability to collaborate with colleagues from clinical, statistical, economic, and business backgrounds.
A proactive approach to learning, continuous improvement, and methodological development.
Depending on the employment arrangement and the benefits offered by the hiring organisation, eligible employees may receive:
- Competitive Compensation: Salary aligned with qualifications, relevant experience, technical expertise, and role responsibilities.
- Flexible Working Options: Remote or hybrid arrangements where available and appropriate to the position.
- Professional Development: Opportunities to strengthen expertise in health economics, economic modelling, outcomes research, and healthcare analytics.
- Training Opportunities: Access to relevant technical training, research methodologies, analytical tools, and professional
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