The aim of the School of Medical Sciences is to pursue a future in which health data and information are seamlessly integrated into biomedical discovery and the continuous improvement of health and healthcare. The School of Medical Sciences is seeking an Associate Professor of Clinical Informatics in a full-time research position.
The Beamtree Associate Professor of Clinical Informatics will lead a program of research alongside experts in Biomedical Informatics and Digital in the School of Medical Sciences. The position is funded by Beamtree, and the scope is to apply data science and AI methods to patient and administrative data. As an Associate Professor you will be recognised at an international level for expanding knowledge and translation of technology in health informatics and biomedical informatics broadly. The research direction is to be broadly complementary to the strategic aims of Beamtree as outlined in the indicative areas below.
About you
We are looking for an Associate Professor of Clinical Informatics who:
- has a PhD or equivalent in an academic field relevant to the discipline
- is acknowledged at an international level as influential in contributions to knowledge or translation in health informatics or biomedical informatics
- has experience in leading programs of research with external funding, and supervising or mentoring other academic staff and postgraduate students
- has made an outstanding contribution to governance and collegial life in the Faculty and University, and in a professional capacity outside the University.
To be considered for this position, please outline your relevant skills and experience with reference to the above selection criteria in your cover letter and upload with your CV.
Indicative areas of experience in research and translation may include:
- automated clinical record coding and classification services to improve the quality of clinical data and support clinical outcomes and financial efficiency
- real time data analytic and benchmarking applications to reduce adverse clinical events and support best value health care
- AI clinical decision support which automates clinical expertise to minimise data errors and provide real analysis and interpretation.
Closing date for applications
11:59 pm, 21 November 2021
Sponsorship / work rights for Australia
Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.
Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position.
Pre-employment checks
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
How to apply
Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.
For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.
Specific enquiries about the position can be directed to Associate Professor, Director of Biomedical Informatics & Digital Health Adam Dunn at adam.dunn@sydney.edu.au or if you require reasonable adjustment or support filling out this application, please contact Rae Hao, Recruitment Operations, on 8627 0063 or by email to rae.hao@sydney.edu.au.
© The University of Sydney
The University reserves the right not to proceed with any appointment.
Click to view the Position Description for this role.Closing Date: 21 November 2021