Location: Brisbane, QLD, AU | Melbourne, VIC, AU | Sydney, NSW, AU
Company: CSIRO
Acknowledgement of Country
CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation
Child Safety
CSIRO is committed to the safety and wellbeing of all children and young people involved in our activities and programs. View our Child Safe Policy.
The Opportunity
- Bring your expertise in creative and innovative research in ML/AI to address scientific and real-world problems.
- Supportive, inclusive, rewarding and truly flexible work environment
- Join CSIRO Health and Biosecurity - make a difference to digital health services.
The Australian e-Health Research Centre (AEHRC) is CSIRO’s national digital health research program and with over 100 scientists and engineers, we are Australia’s largest program of this type. We’re championing the digital delivery of healthcare enabled by world-leading digital research and innovation, industry partnerships, community connections, and national trust.
The Health System Analytics group is part of AEHRC, CSIRO’s Digital Health Research program and conducts high impact research in the domains of Health Intelligence, Digital solutions for AMR and Health Implementation Science. This is an exiting opportunity to join this team as a Data Scientist: Machine Learning in Health collaborating with scientists, clinicians and health professionals, contributing to multiple projects in Health System Analytics focusing on the development and use of novel and interpretable ML algorithms and workflows for applications in healthcare such as improving productivity and efficiency, informing treatment effectiveness, risk stratification and clinical decision support.
If you are enthusiastic about making hands-on contribution to solving research challenges and have established expertise in the development and application of ML algorithms for solving real world problem, then do apply. What so exiting about his position? You’ll be working with domain experts to develop, validate, improve and generalise predictive and prescriptive analytics models for informing operational and clinical decision making.
Your duties will include:
• Developing and applying ML algorithms to support clinical decisions, improving productivity, safety and quality, and evidence-based healthcare.
• Developing workflows for exploring, pre-processing and manipulating large datasets through ML applications and programming interfaces.
• Developing and deploying methodology and/or adapting existing and interpretable machine learning methods in novel and creative ways to meet the group’s research objectives.
• Utilising various analytic and statistical methodologies to evaluate and interpret data.
• Incorporating innovative approaches to scientific investigations by adapting and/or developing original concepts and ideas for new, existing and further research.
• Use CSIRO’s High-Performance Computing and cloud-based resources for managing and processing large datasets and machine learning pipelines.
• Carrying out research investigations, requiring originality, creativity and innovation; recording study results and interpreting the findings in terms of their scientific significance.
• Producing high-quality scientific papers suitable for publication in quality journals and for presentation at national and international conferences.
• Generating and protecting intellectual property and supporting the commercialisation of existing IP to create scalable impact and revenue streams.
Additional duties associated with higher capability level is enlisted on the position description attached below.
Location: Herston QLD, Parkville VIC or Westmead NSW
Salary: * AU$105k - AU$142k plus up to 15.4% superannuation
Tenure: Full-time / Specified term of up to 2 years
Reference: 93171
*Applications are invited across two capability levels (CSOF5 or CSOF6) and the successful candidate will be appointed at the level that is commensurate with their skills and experience.
To be considered you will need:
• A doctorate and/or equivalent research experience in a relevant discipline area, such as Computer/Data Science, Applied Mathematics, Statistics, Engineering or Operations Research.
• Proficiency with programming languages such as Python, and ML /AI libraries such as TensorFlow, Scikit-Learn, Keras, PyTorch, etc.
• Demonstrated competency in managing, analysing, and preparing large datasets.
• Prior experience with feature engineering and end-to-end pipeline development and application for machine learning.
• Demonstrated ability in solving real world scientific problems, including the ability to programme new analyses, clean and structure data, and develop and validate appropriate models .
• Demonstrated ability to undertake original, creative and innovative research in ML/AI, by generating and pursuing novel ideas and solutions to scientific research problems.
• Knowledge of statistical learning or inference, including machine learning and artificial intelligence techniques for pattern recognition, prediction and optimization.
• 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.
• A significant record of science innovation and creativity plus the ability to apply well developed research skills to scientific investigations.
For full details about this role please review the Position Description.
Eligibility
Applications for this position are open to Australian/New Zealand Citizens, Australian Permanent Residents or Australian Temporary Residents residing in Australia with with full working rights till the duration of the contract without any visa sponsorship support from CSIRO. Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.
Flexible Working Arrangements
We work flexibly at CSIRO, offering a range of options for how, when and where you work.
Diversity and Inclusion
We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish.
About CSIRO
At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact.
CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.
CSIRO is committed to the safety and wellbeing of all children and young people involved in our activities and programs, whether we are undertaking research, engaging with the public or nurturing future scientists in person or online. Source – CSIRO Child Safe policy 2023
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
30 November 2023, 11:00pm AEDT