Research Fellow, Health Economics (Level A or Level B )

Monash University

  • Australia
  • Permanent
  • Full-time
  • 13 days ago
Research Fellow, Health Economics (Level A or Level B )Job No.: 677155Location: 553 St Kilda RoadEmployment Type: Full-timeDuration: 2 year fixed-term appointmentRemuneration: $83,280 - $113,025 pa Level A / $118,974 - $141,283 pa Level B (plus 17% employer superannuation)
  • Amplify your impact at a world top 50 University
  • Join our inclusive, collaborative community
  • Be surrounded by extraordinary ideas - and the people who discover them
The OpportunityThe Health Economics Group (HEG) is seeking a talented and driven Research Fellow to contribute to a portfolio of nationally significant projects focused on the economics of mental health. Based within the School of Public Health and Preventive Medicine - one of the largest and most impactful public health schools in the Asia Pacific - HEG supports evidence-informed health system improvement through robust economic analysis.This is your opportunity to lead or support high-impact economic evaluations, contribute to methodological innovation in modelling and data analytics, and help shape policy that improves lives.As a Research Fellow, you will:
  • Conduct applied research in health economics, particularly focused on economic evaluation, cost modelling, and the economics of mental health
  • Support economic analysis of healthcare utilisation, outcomes and costs using national datasets
  • Develop and apply algorithms for cost-effectiveness analysis, burden of disease, and health system modelling
  • Prepare high-quality manuscripts, reports, and funding proposals
  • Collaborate across interdisciplinary teams, government, and health service partners
We're looking for someone who brings:
  • A relevant qualification in health economics, public health (with strong economics focus), or data science
  • Strong skills in health economic evaluation, statistical programming (R or Stata preferred), and scientific computing
  • Excellent problem-solving, planning and written communication skills
  • Experience working with health-related data and modelling methods
  • A collaborative, independent, and organised approach to research
Desirable (not essential) skills include experience with version control (e.g. GitHub), automated reporting (e.g. R Markdown), or interactive dashboard development (e.g. R Shiny).The successful applicant will be appointed at either Level A or Level B, commensurate with qualifications and relevant experience. Please specify in your cover letter the level that you are applying for.About Monash UniversityAt , work feels different. There's a sense of belonging, from contributing to something groundbreaking - a place where great things happen.We value difference and , and welcome and celebrate everyone's contributions, lived experience and expertise. That's why we champion an where everyone is supported to succeed.Together with our , you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities..Join the pursuit of our purpose to build a better future for ourselves and our communities - with us.Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes .To ApplyFor instructions on how to apply, please refer to ' '. Your application must address the Key Selection Criteria.Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at in an email titled 'Reasonable Adjustments Request' for a confidential discussion.Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.Enquiries: Dr Long Le, Senior Research Fellow, long.le@monash.eduPosition Description: andApplications Close: Sunday 14 September 2025 at 11:55pm AESTSupporting a diverse workforce

Monash University