Research Fellow in Epidemiology and Housing Intervention Simulation Modelling

Melbourne, Australia
$77,171 to $130,900 p.a. plus 17% super
24 Nov 2022
End of advertisement period
06 Jan 2023
Contract Type
Fixed Term
Full Time

Location: Parkville
Role type: Full-time; Fixed-term for 2 years
Faculty: Medicine, Dentistry and Health Sciences
Department/School: Melbourne School of Population and Global Health
Salary: Level A – $77,171 – $104,717 p.a. or Level B – $110,236 – $130,900 p.a. plus 17% super

The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People. We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands.

About The Centre for Epidemiology and Biostatistics (CEB)

The Centre for Epidemiology and Biostatistics is at the forefront of a preventative health revolution. Big data, changing infectious diseases patterns and multi-disciplinary collaborations are transforming the ways public health disciplines are researched and taught. Our Centre aims to be a leader in this evolving environment.

About the Role

The successful applicant will need excellent skills in epidemiology; a large and critical part of the position is appraising existing studies, selecting the best studies to parameterize effect sizes (e.g. what is the rate ratio of asthma incidence versus asthma severity for varying severity of mould in the house). You will need to enjoy conceptualizing causal networks and have the ability to posit plausible effect sizes (and their uncertainty) for many moving parts in a simulation model – even when the evidence is not perfect.

Responsibilities include:

  • Conceptualization and specification of healthy housing interventions
  • Literature reviews and synthesis to inform conceptualization and specification of models.
  • Analyses of data external to the core simulation model to generate model inputs (e.g. smoothing survey data estimates, forecasting trends)
  • Estimation of health system costs (e.g. of the intervention itself, of disease related to the intervention)
  • Build, calibrate and validate Python modules, either (depending on skills), assisting existing team members

About You

You are looking to deepen and broaden your application of epidemiology to quantifying the impact of population interventions, and carve out a career at the interface of epidemiology, economics and policy making. You will bring your strong interpersonal and communication skills, with an ability to build and maintain relationships with key stakeholders (internal and external) and work collaboratively.

You will also have:

  • A PhD or near completion of PhD in epidemiology (or closely related discipline with subsequent experience in epidemiology) is essential.
  • A demonstrated publication track record and strong writing skills.
  • Experience using at least one statistical and/or programming language (e.g. R, STATA, Python).

Please note: To be considered for this role you must have current valid work rights for Australia.

About the University

The University of Melbourne is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.

Benefits of Working with Us

In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:

  • Flexible working arrangements, generous personal, parental and cultural leave
  • Competitive remuneration, 17% super, salary packaging and leave loading
  • Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
  • Discounts on a wide range of products and services including Myki cards and Qantas Club
  • Career development opportunities and 25% off graduate courses for staff and their immediate families

To find out more, visit

Be Yourself

We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live.

Join Us!

If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria^ (found in the Position Description) for the role.

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact  us at

Applications close: 6th January 2023 at 11:55 PM AUS Eastern Daylight Time

Position description: 0057810_RF Epidemiology & Housing Simulation_PD.pdf

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