First listed on: 29 October 2020

Research Scientist in Health Intelligence 

The Opportunity
  • Have an interest in developing novel machine learning solutions for scientific problems that arise in Health?
  • Use your skills & make an impact on national and international health policy
  • Join CSIRO – Australia’s premier science & technology research organisation

CSIRO Health & Biosecurity is seeking to appoint a Research Scientist in Health Intelligence. This position represents an exciting opportunity for a highly motivated scientist with a background in machine learning to join the Health Systems Analytics group contributing towards significant research goals and delivering impact on national and international health policy.

In this position you will work in collaboration with scientists, clinicians and other health professionals, and contribute to multiple projects in the area of Health Intelligence particularly focussed on the development and use of novel and interpretable machine learning algorithms and workflows for applications in healthcare such as improving productivity and efficiency, informing treatment effectiveness, risk stratification and clinical decision support.

Your duties will include:
  • Incorporate innovative approaches to scientific investigations by adapting and/or developing original concepts and ideas for new, existing and further research.
  • Health data analytics and development and application of machine learning models to support clinical decision support, improved productivity, safety and quality, and evidence-based healthcare.
  • Develop and deploy methodology and/or adapt existing and interpretable machine learning methods in novel and creative ways to meet the group’s research objectives.
  • Utilise various analytic and statistical methodologies to evaluate, and interpret data.
  • Recording study results and interpreting the findings in terms of their scientific significance.
  • Health service performance advice.

Location: Herston, QLD
Salary: AU$98k - AU$106k plus up to 15.4% superannuation
Tenure: Indefinite
Reference: 62935

To be considered you will need:

Essential Criteria:

  • A doctorate in a relevant discipline area, such as statistics, applied mathematics, machine learning, data science, operations research, computer science, or engineering.
  • Demonstrated ability in solving real world scientific problems.
  • Ability to develop new methods to solve applied statistical/health data analytics/health system problems.
  • Proficiency with programming languages/packages, such as R and Python, including the ability to programme new analyses, clean and structure data, and develop and validate appropriate models.
  • High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.

Desirable Criteria:

  • Previous experience working in the health domain, especially with clinical data.
  • Experience in developing successfully funded research proposals.

For full details about this role please review the Position Description


The successful candidate will be asked to obtain and provide evidence of a National Police Check or equivalent. Please note that people with criminal records are not automatically deemed ineligible. Each application will be considered on its merits

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance

Diversity and Inclusion

We are working hard to recruit diverse people and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. Diversity and Inclusion Strategy

We are committed to the safety and wellbeing of all children and young people.


At CSIRO, Australia's national science agency, we solve the greatest challenges through innovative science and technology.

Join us and start creating tomorrow today!

How to Apply

Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Applications Close

Thursday 12 November, 2020

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