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Research Associate/Research Fellow

Apply now Job no: 499212
Work type: Full-time
Location: Sydney, NSW
Categories: Post doctoral research fellow

The Centre for Big Data Research in Health (CBDRH) is a research centre within the Faculty of Medicine and aims to improve the health of the population through research using large-scale electronic data that integrates information about biology, clinical care, health services and the social and physical environments. CBDRH is in a rapid growth phase at present. There are currently around 30 academic staff, 12 professional staff members and 16HDR students. https://cbdrh.med.unsw.edu.au/

About the role:

  • 2-year, Fixed-term contract (Full Time or Part Time)
  • Level A/B: $77K - $127K (+ 17% Superannuation & Leave loading)
  • Sydney, Australia based

The functions of CBDRH are to: (i) foster and develop innovation in health data science; (ii) undertake high impact, high-quality and multi-disciplinary health and medical research using big data; (iii) facilitate the rapid translation of research findings into health improvements and better value in health care; (iv) build multi-disciplinary capacity in health research using big data; and (v) promote public, clinical and policy awareness of the health and societal benefits of research using big data. The Research Associate/Research Fellow will provide support across projects within the Research Units in the Centre for Big Data Research in Health.

Please review the position description for more details on the role requirements. Download File Level A-B - RA - RF - CBDRH.pdf

Skills and Experience:

Level A:

  • Degree in biostatistics, epidemiology, computer science, applied statistics or a related discipline, or undergraduate degree with relevant research experience
  • Strong understanding of theory and methods relating to the design of epidemiological studies and the statistical analysis of health-related data
  • Demonstrated experience in the management and analysis of large complex health datasets and the analysis of linked, longitudinal data and electronic medical records
  • Excellent interpersonal and communication skills, with proven ability to build successful working relationships with a variety of people, both internal and external
  • Demonstrated ability to maintain the strictest confidentiality when dealing with sensitive data and an understanding of ethical principles relating to privacy and confidentiality

Level B (in addition to the above):

  • Postgraduate degree in biostatistics, epidemiology, computer science, applied statistics or a related discipline
  • Excellent track record of research in a related discipline, which has resulted in peer-reviewed publications
  • Highly developed data analysis skills and experience in use of several statistical packages
  • Demonstrated ability to conceptualise novel research questions in areas relevant to public health, health services research, or health informatics and to develop these into research outputs
  • Evidence of an increasing trajectory of research excellence and productivity

Please apply online through the website

Contact (For job related queries only):

Louise Francis - louise.francis@unsw.edu.au

Applications close: 11pm, 13th August 2020

Find out more about working at UNSW at https://med.unsw.edu.au/

UNSW is an equal opportunity employer committed to diversity

Position Description

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time

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