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Research Fellow, UNSW Sydney

  • 23 Mar 2022 2:08 PM
    Message # 12677278

    Job no: 508050
    Work type: Full time
    Location: Sydney, NSW
    Categories: Lecturer, Post doctoral research fellow

    Why your role matters

    • Translational health research projects funded by MRFF and NHMRC
    • $111,563 - $131,517 + 17% superannuation + annual leave loading
    • Full-time (35 hours week), 2-year fixed term contract

    Reporting to the Chief Investigator, Associate Professor Blanca Gallego Luxan, this opportunity is to support two grant-funded research projects in the Centre for Big Data Research in Health. Key responsibilities include coordinating project activities, leading aspects, and contributing as a team member to other elements of the research projects. 

    Cardiac AI: Deep learning to predict and prevent secondary cardiovascular events

    Using electronic medical record data and AI technologies to develop and implement an algorithm and a prototype visualisation dashboard to identify cardiac patients who are at high risk of a further cardiovascular event.

    Hospital Trajectories for 15 million Australians

    Use new methods to create longitudinal, patient-centric and data-driven representations of patient experience to inform health service planning, delivery and evaluation by allowing identification of patient subgroups who are most likely to be high users of hospital services.

    The Organisation

    The Centre for Big Data Research in Health is the first Australian research centre dedicated to health research using big data. The power of ‘big data’ is harnessed to drive improvements in health through transforming the prevention and management of disease and the delivery of health services.

    UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do.  If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place. 

    Who you are

    You have a PhD in biostatistics, applied statistics, data science, computer science or epidemiology, or a postgraduate qualification in one of these fields plus relevant work experience, as well as a 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.  You can also demonstrate a strong understanding of theory and methods relating to the design of research studies using large-scale observational health and medical data and experience in the management and analysis of large complex health datasets using advanced statistical and machine learning techniques.

    To apply:  If contributing to the development of mobile health (mHealth) technologies is of interest to you, please submit your CV, Cover Letter and responses to Skills and Experience.


    Shiree Thomas

    Talent Acquisition Consultant


    t: 02 9065 7058

     Applications close: 11.55pm, Tuesday 19th April 2022


    Last modified: 23 Mar 2022 2:09 PM | Sanja Lujic
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