This Job is based in Australia
Research Fellow (National Perinatal Epidemiology and Statistics Unit)
The National Perinatal Epidemiology and Statistics Unit (NPESU)
The NPESU is a unit of the Centre for Big Data Research in Health (CBDRH), strategically partnered with the School of Clinical Medicine (Women's Health) at the University of New South Wales, Sydney (UNSW). This positioning places the NPESU at the ideal intersection between clinical and public health research thereby leveraging cutting-edge expertise in managing and analysing large-scale complex health data.
The Opportunity
The Research Fellow will be expected to carry out independent and / or team-based epidemiological and statistical research using large health datasets. The Research Fellow will provide support across projects within the National Perinatal Epidemiology and Statistics Unit (NPESU) in the Centre for Big Data Research in Health.
Some Key Skills And Experience Required
UNSW Benefits And Culture
UNSW offer a competitive salary and access to a plethora of UNSW-perks including :
More information on the great staff benefits and culture can be found here.
How To Apply
Please click on Apply now to apply online. Applications should not be sent to the contact listed below. Please provide a resume and a cover letter addressing the main skills and experience listed in the position description . A copy of the Position Description can be found on JOBS@UNSW.
Contact :
Dr Wentao Li, email : [HIDDEN TEXT]
Applications close : Monday 24th November before 11.30pm Sydney time.
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
Skills Required
Epidemiology, biostatistics , Statistical Analysis
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