Data Scientist and Modeller Full-time

Data Scientist And Modeller

Join us to build and run Python-based simulation models that inform health decisions for governments and organizations.

Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.

Your next career opportunity You will use and extend Python simulation models to quantify health, equity and economic impacts of interventions. Working with expert modellers, economists and epidemiologists, you will support consulting projects and peer-reviewed research. You will grow your technical, client-facing and leadership skills while contributing to high-impact, purpose-driven work.

What you will deliver:

• Develop, extend and maintain Python-based multistate lifetable and related simulation models for public health interventions.
• Build reproducible data pipelines, process large datasets and generate model inputs using robust statistical methods.
• Validate, calibrate and document models, ensuring transparent, high-quality code and clear user-facing documentation.
• Contribute to web-based tools and visualisations that communicate model results to technical and non-technical audiences.
• Support consulting and research projects by translating client needs into modelling specifications and drafting reports.

You may be a great fit if you:

• Hold a PhD or Masters in computer science, data science, mathematics, statistics or a related quantitative field.
• Demonstrate strong Python programming skills for simulation modelling, including lifetable, Markov or similar approaches.
• Use version control and structured documentation practices, ideally with Git, to support collaborative software development.
• Analyse complex datasets, build data pipelines and create clear visualisations and automation macros in Python or R.
• Deliver high-quality reports and presentations for clients, translating technical model outputs into accessible, actionable insights.
• Collaborate effectively within multidisciplinary teams and manage concurrent tasks to meet deadlines with minimal supervision.

For more information check out our benefits page!

Your new team

You will join the Population Interventions Unit in the Centre for Epidemiology and Biostatistics. This sits within the Melbourne School of Population and Global Health, a leading public health school. The team leads the SHINE Program, combining epidemiology, economics and data science to evaluate interventions. You will collaborate with supportive modellers, researchers and partners on projects that influence real-world policy. The School offers a vibrant research culture, strong mentoring and opportunities to grow both academic and consulting skills.

Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.

Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with Korin Korin, our Indigenous Employment and Development team, via korin-korin@unimelb.edu.au

Application essentials:

• Visit “apply with us” to learn more about the process, including tips and FAQs.
• You must have current valid work rights for Australia. Visa sponsorship is not available for this role.
• A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.
• Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
• Please upload a separate document addressing the Selection Criteria outlined in the Position Description.

Want to know more?

• For questions related to our recruitment process email Corey Menadue at hr-careers@unimelb.edu.au
• For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').

Apply today, and join a community that's shaping the future.

Applications close: Sunday 5 July at 11:55 PM; Melbourne time zone.