Research Fellow in Health Analytics

RMIT University


Research Fellow in Health Analytics

Job no: 584065
Work type: Full time - Fixed term/Contract
Categories: Research, Science, Education

  • Melbourne CBD location
  • Full time, 2 year fixed term contract
  • $91,734 - $107,432 p.a. + 17% Super

About Us

RMIT is a multi-sector university of technology, design and enterprise with more than 91,000 students and 11,000 staff globally. RMIT offers postgraduate, undergraduate, vocational education and online programs to provide students with a variety of work-relevant pathways.

Our purpose is to offer life-changing experiences for our students, and to help shape the world with research, innovation, teaching and industry engagement. With strong industry connections forged over 130 years, collaboration with industry remains integral to RMIT’s leadership in education, applied and innovative research, and to the development of highly skilled, globally-focused graduates.

The School of Science is one of RMIT's top-performing research schools, we deliver research that addresses the 'real-life questions' essential to Australia's innovation agenda.


What unites us is our purpose and our values; they are at the heart of who we are, what we stand for, how we make decisions and connect with each other.

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. RMIT exists to create transformative experiences for our students, getting them ready for life and work. You will be a part of a productive and collaborative team, who values working relationships and outcomes through open and inclusive planning, continuous information sharing and transparent work practices.

When you join our team, you'll be able to access a range of benefits. From travel to fitness, there's something for everyone.

About the Role

The Research Fellow will contribute to RMIT’s participation in the Digital Health CRC (Cooperative Research Centre), a major multi-disciplinary multi-organisation research initiative to develop a taskforce to focus research and development on combining individual and collective expertise with data, information and telecommunication technologies. In particular, the Research Fellow will play a leading role in a joint project between RMIT and Telstra Health to develop techniques to analyse data collected in Aged Care facilities for early signs of potential for deteriorating health.

Responsibilities will include performing research to develop novel techniques addressing the project goals, including working with academic research staff to develop solutions; with Telstra Health staff to understand existing tools and translation of techniques to enhance those tools; and with domain (i.e., aged care) partner organisations and Health professionals to understand historical data and the triggers identifying necessary intervention.

The position will be affiliated with RMIT's School of Science and, in particular, the Disciplines of Computer Science and Mathematical Sciences.

About You

The successful candidate will have a PhD in Computer Science, Statistics, Artificial Intelligence, Data Science/Analytics, or closely related area, with proven research contributions in data analysis/machine learning for the purpose of decision-making. Prior work in applying such techniques in Healthcare, and expertise in interpreting health data, would be highly regarded. Independent programming abilities in an appropriate language is essential, as is strong communication and teamwork skills. A history of engagement with industry, collaboration with external partners, and research translation into practical outcomes is highly desirable.

The position will be affiliated with RMIT's School of Science and, in particular, the Disciplines of Computer Science and Mathematical Sciences.

Bring your whole self to work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We’re proud to share with you some of our wins:

  • RMIT University is an Athena SWAN member with Bronze Award accreditation and the College of Science, Engineering and Health is central to driving improvements in gender equality, diversity and inclusion, particularly in the Science, Technology, Engineering, Mathematics and Medicine (STEMM) disciplines.
  • RMIT was placed 10th in the 2019 Randstad Employer Brand Research Awards, up five spots from 2018.
  • We were named as an Employer of Choice for Gender Equality by the Workplace Gender Equality Agency in 2019. 
  • We achieved Gold Employer status for LGBTIQ inclusion in the Australian Workplace Equality Index (AWEI) in 2018 and now in 2019.
  • We were recognised as a top five employer in 2018 for workplace accessibility with the Australian Network on Disability.
  • Exceeding our targets in our Reconciliation Action Plan for Bundyi Girri – an important step in our reconciliation journey. 

To Apply

Please submit your CV and cover letter outlining your interest in this role. Candidates are requested to separately address the key selection criteria outlined in the position description. For further information please contact Lawrence Cavedon on +61 3 9925 2325 or or to view a position description visit and search using job reference number 584065.

Download File Position Discription_Research Fellow in Health Analytics.pdf

Applications close on December 5th, 2019. 

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

Application close: 05 Dec 2019 11:55 PM AUS Eastern Daylight Time

In your application, please refer to


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