Job:Research Fellow or Junior Research Fellow in Statistical Genetics and Genomics
Entering edit mode
6.8 years ago

We are looking for a motivated scientist in the field of statistical genetics and genomics, biostatistics, medical research and large-scale of genomic data analysis.

Research Fellow/Junior Research Fellow - Statistical Genetics and Genomics (1 position)

School of Environmental and Rural Science

  • 2 Year Fixed-term full time, with the possibility of extension
  • $87,978 to $ 104,269 per annum (Research Fellow Level B), $ $61,914 to $83,632 per annum (Junior Research Fellow Level A)
  • Plus17% employer superannuation. Salary packaging options are available.

About the role

The Animal Science and Genetics group at UNE is internationally highly regarded in the field of statistical and quantitative genetics. The group has a very strong expertise in large scale genetic evaluation, advanced statistical modelling and use of genomic information in large populations to predict genetic and phenotypic differences for complex traits. The core of this expertise resides at UNE in the School of Environmental and Rural Science (ERS) and in the Animal Genetics and Breeding Unit (AGBU), forming a community of over 40 statistical, quantitative and population geneticists at UNE, and with collaborating partners at CSIRO and the NSW Department of Primary Industries in Armidale.

The UNE group at ERS is a centre of excellence internationally in teaching quantitative genetics and animal breeding. The group is currently deeply involved in more strategic research concerning the use of genomic information for prediction of phenotype and genotype, and to develop efficient methods for using large scale and dense genotype information in prediction. The work also includes Genome Wide Association Studies and dissection of genetic variance into various causative components for various species including livestock, mice and human.

To find out more, please visit

We have currently one position available, providing and an excellent opportunity for Postdoctoral Research Fellow to join the Animal Science and Genetics Research teams. You will need to have completed, or nearly completed, a PhD in Animal Science, Genetics, Statistical Genetics or a related area. You will be able to demonstrate a strong track record in research achievement along with experience with statistical analysis of quantitative genetic models and analysis of genomic data. More detail on each of these positions is available on

Additional information

To discuss this role please contact Dr Sang Hong Lee, phone +61 2 6773 3665 or email: For further information about the school visit:

About UNE

The University of New England in Armidale, Australia is a unique university, in the enviable position of boasting an excellent international reputation as well as being a leader in research and academic innovation. UNE is proud of its heritage and status as one of Australia's oldest universities and we are committed to maintaining the tradition of distinction for which we are renowned.

About Armidale

Living in Armidale you will experience the best of both city and rural living. Enjoy a healthy and active lifestyle with access to shopping, gourmet food, top sporting facilities and cultural delights all for a fraction of the price you'd expect to pay in a major city. You can live in the heart of Armidale or experience the tranquillity of the New England on a rural property.

To find out more, visit: and/or

Closing date: 29 Jan 2016

Reference: 215135

Applicants must provide a response to each of the selection criteria contained in the position statement addressing the level at which they are applying.

Equity principles underpin all UNE policies and procedures. As a University committed to engaging a diverse workforce, UNE encourages Aboriginal and Torres Strait Islander people to apply.

postdoc statistical-genetics • 2.5k views

Login before adding your answer.

Traffic: 2311 users visited in the last hour
Help About
Access RSS

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6