Research Associate/Post Doctoral Fellow in Statistics
National Drug and Alcohol Research Centre
- One of Australia’s leading research & teaching universities
- Vibrant campus life with a strong sense of community & inclusion
- Enjoy a career that makes a difference by collaborating & learning from the best
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
The National Drug and Alcohol Research Centre (NDARC) was established at the University of New South Wales by the Commonwealth Government in 1986 to extend the knowledge base required for effective treatment of individuals with alcohol and other drug related problems and to enhance the overall research capacity in the drug and alcohol field. The Centre is highly regarded, both nationally and internationally, for its contribution to drug and alcohol research.
About the role
- $73,597 - $121,478 plus 9.5% Superannuation and annual leave loading
- 12 months fixed term with strong prospects for extension
- Full-time (35 hours per week)
This position will contribute to an NIH-funded research project examining adverse events in the treatment of opioid dependence. The successful applicant will be responsible for analysis of routinely collected health data using standard and novel statistical techniques.
The successful applicant will work closely with the Chief Investigators of the study and be supported to develop high-level statistical skills in machine learning and the opportunity to develop a well-rounded research profile.
About the successful applicant
To be successful in this role you will have:
- Master’s degree or PhD in statistics, biostatistics, or other quantitative discipline; OR Master’s degree or PhD in computer science, bioinformatics, or engineering
- Applied knowledge/experience in a health/medical field;
- Demonstrated experience in using appropriate software to manage large and complex datasets;
- Demonstrated knowledge and experience of statistical analysis of linked routinely collected health data;
- Minimum three years’ demonstrated experience programming in SAS, Stata or R;
- Demonstrated high level written and oral communication skills;
- Demonstrated ability to work independently and as part of a collaborative research team;
- Knowledge or experience of machine learning methods for building risk prediction models is desirable;
- Knowledge of opioid- and injecting-related harms and pharmacotherapies for opioid dependence is desirable.
You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent directly to the contact listed.
Sarah Larney, Senior Research Fellow
T: (61 2) 8936 1023
Applications close: 30 April 2018