Data Scientist
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Job Summary
- Lead impactful data science initiatives that improve child and youth wellbeing through advanced statistical and spatial analysis.
- Deliver innovative geo-spatial visualisations and integrated datasets that support evidence-based decision-making.
- Full-time appointment on a fixed term basis for 1 year.
- Base salary range: $134288 $142099 p.a. (pro-rata) plus 17% superannuation.
About the area
The Data Scientist position is part of the Australian Child and Youth Wellbeing Atlas project team operating within the UWA School of Population and Global Health. This project is a ground-breaking initiative designed to create a comprehensive data asset that maps the health and wellbeing metrics of children and young people aged 0 to 24 across Australian communities. By visualising and analysing this data the project provides valuable insights to inform policy and improve outcomes for young people nationwide.
This project is led by a team based at the UWA School of Population and Global Health the Wellbeing Atlas project represents a national partnership of researchers policymakers philanthropic organisations clinicians government community advocates and young people.
About the opportunity
- Lead data preparation and analysis for the Australian Child and Youth Wellbeing Atlas focusing on cleaning harmonising and curating complex datasets to support national insights into youth wellbeing.
- Utilise GIS and statistical tools (including R) to prepare spatial data conduct advanced analyses and develop geo-spatial visualisations that inform policy and practice.
- Collaborate across sectors with researchers policymakers and community stakeholders to ensure data solutions are strategically aligned technically sound and effectively communicated.
About you
- Relevant tertiary qualification in statistics data science computer science or postgraduate qualification in a highly quantitative discipline or demonstrated equivalent competency.
- Substantial relevant experience in leading and executing data cleaning harmonisation and curation of complex datasets particularly in the context of administrative and research data sets as well as linked data.
- Proven expertise in using GIS technology and spatial data analysis techniques for data preparation analysis and geo-spatial visualisation.
- Extensive experience in applying advanced statistical analysis and modelling techniques using R including spatial analysis methods. Experience with RShiny application development is advantageous.
- Strong ability to collaborate with project team members stakeholders and partners to understand data requirements and provide insights for effective visualisation solutions.
Special Requirements:
A current National Police Clearance Certificate will be required by the successful applicant.
Position description: PD Data Scientist
To learn more about this opportunity please contact Marketa Reeves at
How to apply
Please apply online via the Apply Now button. The content of your Resume and Cover Letter should demonstrate how you meet the selection criteria.
Closing date: 11:55 PM AWST 7on Friday 24th October 2025.
This position is only open to applicants with relevant rights to work in Australia.
About the University
The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record vibrant campus and working environments there is no better time to join Western Australias top university.
Our commitment to inclusion and diversity
UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all including Aboriginal and Torres Strait Islander people women those from culturally and linguistically diverse backgrounds the LGBTIQA community and people living with disability.
If you require any reasonable adjustments we encourage you to advise us at the time of application. Alternatively you can contact us for assistance during the recruitment process.
If you have queries relating to your application please contact the individual named in the advertisement. Alternatively please contact the Talent team at with details of your query. To enable a quick response please include the 6-digit job reference number.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
