Job Description

• Employment Type: Full Time; 35 hours per week
• Duration: Fixed Term until 31 December 2028
• Remuneration: Academic Level B $133,065 - $156,864 per annum (based on experience) + 17% Super + Annual Leave Loading
• Location: Sydney, New South Wales, Australia

The Research Fellow will join the Centre for Big Data Research in Health to undertake innovative research focused on improving the prevention and management of adverse events in hospitalised patients through advanced data science and artificial intelligence. Reporting to the Technical Lead of CardiacAI, the role will contribute to the development, validation and evaluation of predictive algorithms, clinical decision-support tools, and data visualisations that enhance patient care and clinical decision-making.

Working collaboratively within a multidisciplinary research team, the Research Fellow will design and conduct high-quality research using large-scale healthcare datasets, applying statistical, machine learning and natural language processing methods to address clinically relevant questions. The role will contribute to research publications, grant applications, ethics submissions and conference presentations, while supporting research students and fostering collaborative research initiatives. The Research Fellow will also promote reproducible research practices and contribute to the Centre's ongoing research excellence. The role has no direct reports.

Some Key Skills Required:

• A PhD in data science, biostatistics, computer science, health informatics or a closely related field.
• Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of desire and ability to achieve research excellence as well as the capacity for research leadership.
• Strong understanding of theory and methods relating to the design of research studies using largescale observational health and medical data and methods for the analysis of these data.
• Demonstrated experience in the management and analysis of large complex health datasets and the analysis of these data using advanced machine learning and natural language processing techniques.
• Demonstrated experience in developing software applications to implement machine learning and natural language processing techniques.
• Demonstrated ability to maintain the strictest confidentiality when dealing with sensitive data and an understanding of ethical principles relating to privacy and confidentiality.
• Highly developed data analysis skills and experience in the use of several statistical packages and programming languages.
• Demonstrated ability to conceptualise novel research questions in areas relevant to health services or clinical research using real-world data and to develop these into research outputs.

Please refer to the position description for full details.

Benefits and Culture:

UNSW offer a competitive salary and access to a plethora of UNSW-perks including:

• Career development opportunities
• 17% Superannuation contributions and additional leave loading payments
• 10 days paid cultural leave per year
• Additional 3 days of leave over Christmas period
• Discounts and entitlements (retail, education, fitness)

More information on the great staff benefits and culture can be found here

How to Apply:

Submit your application including your resume & selection criteria online before Monday 10th August at 11:55pm.

To be considered for this role, you must address the Selection Criteria which are outlined in the “Skills and Experience” section of the position description. Applications that do not address these criteria will not be considered

Pre-Employment Checks
As part of our recruitment process candidates may be required to undergo pre-employment screening, which may include reference checks, qualification verification, right-to-work verification, and criminal history screening where relevant to the role.

Get in Touch:

Aarti

a.aarti@unsw.edu.au

Talent Acquisition Associate

Please apply through the application portal and not via the contact above.

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.