Research Assistant (Data Science)(casual position)
Research Assistant (Data Science)(Casual position), Drugs and New Technologies (DNeT) Project, National Drug and Alcohol Research Centre, UNSW
Location: Randwick Campus, UNSW
Work type: Casual
Classification: Level 5.1
Close date: 15 June 2018
Would you like to apply your data science skills to drug research?
We are seeking a motivated and enthusiastic research assistant to work on the Drugs and New Technologies (DNeT) project at the National Drug and Alcohol Research Centre, Randwick Campus, University of New South Wales, Sydney. DNeT assesses and quantifies the online availability of drugs, including both traditional and new psychoactive substances, via the surface and darknet. More information on DNeT can be found here:
The DNeT project is a part of the Drug Trends program, an internationally-renowned system providing vital information on drug trends in Australia. The Drug Trends program has been running since 1996, playing an integral role in identifying new and emerging problems in substance use and harms in Australia. The Drug Trends program is entering an exciting new phase, adopting novel methods to respond to new challenges in monitoring substance use.
The successful candidate will be an enthusiastic, innovative individual trained in data science, IT or computing with a knowledge of Python, R or similar programs and a willingness to think critically and innovate. Experience in web data extraction, text analytics and data visualisation are essential. Full details of the job responsibilities and candidate requirements are outlined in the position description available from Amy.Peacock@unsw.edu.au.
The rate is Casual Level 5.1. We are seeking someone available for a minimum of 10-14 hours a week.
Applications for this position will close Friday 15th June. Please send:
– a covering letter summarising your skills and experience in data science;
– a statement outlining why you want to work with Drug Trends;
– a full curriculum vitae