This position is offered through the ANU Computing Internship ([COMP4820] / [COMP8830])
Company
Department of Health and Aged Care
The Department of Health and Aged Care develops and delivers policies and programs and advises the Australian Government on health, aged care and sport. We work with a wide range of stakeholders to ensure better health for all Australians.
Project
Data Science Section Horizon Scanning Project
The Data Science Section is running a proof of concept Horizon Scanning project designed to enable the early detection and monitoring of global developments related to respiratory disease, providing critical insights. By leveraging advanced AI technologies, this project aims to automate the collection and evaluation of large volumes of information, offering real-time assessments of respiratory disease risks to Australia. The tool will be customised to the specific needs of the department, and importantly, this approach can be expanded to cover additional communicable diseases and health risks beyond respiratory disease.
The project will be executed in a phased, milestone-based approach, allowing for continuous feedback and refinement to meet the evolving needs of our users.
The role of the intern is to work with a team participating in project sprints, and will be able to contribute to method development and execution.
The intern will also assist with data wrangling, documentation, write up various analytical reports that summarise key findings. The intern will be working with aggregated data csv files which needs to be converted into relevant charts and tables using Excel/Python/R. Each set of visualisations needs to be accompanied by a discussion of results, key findings, and recommendations.
Benefits
• Participate in development of AI empowered tools.
• Potential to work with big data on a large data-linkage projects.
• Receive training and support from a team of data analysts and data scientists.
• Collaborate with a range of internal and external departmental stakeholders.
• Gain insights into the role and responsibility of government in regard to health data analytics.
• General understanding of career opportunities within the department and the broader public service.
Required/Preferred technical skills
Required:
• Computer programming eg Python, R, SAS or SQL
• Data wrangling / engineering
• Data visualisation eg Tableau, Power BI, Qlik, Python, R
• Machine learning/artificial intelligence
Desirable:
• Quantitative background (eg mathematics, statistics, bioinformatics, epidemiology)
• Written communication skills, especially report writing
• Experience in scientific literature reviews
• Oral communication skills eg presentations
Special Requirements
• Intern requires Australian citizenship
The intern will be required to obtain Baseline security clearance, sponsored by the organisation.
Delivery Mode
In-person/Hybrid.
Type of internship
Paid internship. The intern/s will be engaged as a casual employee.
How to apply
Applications are invited from students who have already passed the eligibility checks for the Computing Internship courses COMP4820 or COMP8830. Further information about the Computing Internships can be found on the Computing Internship page.
You can nominate multiple preferred Internship projects and host organisations through the one application form.