Why work with us:

At Deakin you will have access to benefits such as a variety of leave options including generous parental leave and the ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus.

As an Associate Research Fellow, you will:

• Undertake all statistical tasks for the projects associated to the position, including linking data across different sources, data management and manipulation, data analysis, and preparation of statistical result reports.
• Collaborate in enhancing the quality of the statistical aspects of the projects.
• Foster and maintain sound working relationships and effective communication with the chief investigators and researchers involved in the various projects.
• Stay abreast of modern biostatistical methods relevant to the specific projects funding the position.
• Assist in delivering high-quality postgraduate seminars and workshops in biostatistics.
• Engage in professional activities such as conferences and research seminars.              

As a Research Fellow, in addition to the Associate Research Fellow responsibilities, you will:

• Contribute to securing competitive external funding by participating in the methodological aspects of the applications.
• Build a national and international reputation through publication of scholarly research in high-quality peer-reviewed journals and participation in academic forums.
• Conduct research in biostatistical methods relevant to the specific projects funding the position and disseminate findings through conference papers and publications.

To be successful, you’ll have:

• Associate Research Fellow: Master’s degree in Biostatistics or Statistics; alternatively, a PhD in Epidemiology with strong quantitative component.  Research Fellow: A PhD in Biostatistics or Statistics; alternatively, a master’s degree in Biostatistics or Statistics with broad experience working as an applied statistician in health research.
• Proven comprehensive understanding of biostatistical methodology.
• Experience or extensive experience as an applied biostatistician, evidenced by publications, conference papers, reports, or technical contributions in the health sciences.
• Experience in managing datasets including data linkage, and data manipulation and cleaning.
• Familiarity with modern statistical methods relevant to health research; with practical experience being desirable.

*Please see attached PDs for further selection criteria for each role.

Here's how to apply: 

Please submit your updated resume, a short cover letter (including which position you are applying for) and responses to the Key Selection Criteria by clicking the 'Apply' button.

For a confidential discussion regarding this role, please contact Professor Liliana Orellana (Professor of Biostatistics) on l.orellana@deakin.edu.au. 

For a copy of the position description, please see below:

 Associate Research Fellow (Level A).pdf

 Research Fellow (Level B).pdf

Applications for this position close on 25th June 2025. 

Are You Ready?

Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community.

We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success.

We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.