Research Fellow, Biological Data Science Institute
Classification: Academic Level B
Salary package: $98,009 to $111,365 per annum plus 17% superannuation
Terms: Twelve month fixed term appointment with possible extension
ANU has an international reputation for research and education relevant to the health and well-being of the population of Australia, as well as that of the developing world. This is achieved through discovery research, applied research in health service settings, research-led teaching in health and medical sciences, and the translation of research findings into practice and policy. The ANU College of Health and Medicine comprises the Research School of Psychology, the ANU Medical School, the John Curtin School of Medical Research and the Research School of Population Health. These schools work together to deliver world-class research and education across the spectrum of medicine and health-related fields, working in partnership with the health sector at local, national and international levels.
The Biological Data Science Institute (BDSI) is a new academic unit in the Joint Colleges of Science that sits at the interface of data science and biological science. It aims to recruit, build and coordinate expertise in biological data science to accelerate the translation of biological data to biological knowledge. Operating in the space between traditional disciplines, the BDSI is positioned to collaborate across the ANU campus and with partner organisations to solve problems that have impact.
This position is in support of the Health Analytics Research Centre (HARC), a collaboration between ACT Health and its academic partners focused on health data science, and research methods and analytics in both qualitative and quantitative areas. You will be required to advance the shared goals of BDSI and HARC in the healthcare space by driving high quality and efficient research and innovation, strengthening strategic partnerships, and accelerating the translation of knowledge to practice and policy. To be successful in the role, you will need to develop and maintain effective, productive and beneficial workplace relationships within all academic and professional staff, students and honorary appointees, as well as with industry stakeholders.
For further information, please contact Professor Eric Stone
Closing date: 14 June 2019
Position description: Data Scientist Biostatistician
The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant via: firstname.lastname@example.org
ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion
External Application form – sponsorship may be considered
In order to apply for this role please make sure that you upload the following documents:
- A statement addressing the selection criteria.
- A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
- Other documents, if required.
Applications which do not address the selection criteria may not be considered for the position.
Please note: The successful applicant must have rights to live and work in this country.