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3-Year Biostatistician/Data Scientist position, National Drug and Alcohol Research Centre

  • 10 Jul 2019 10:27 AM
    Message # 7771481

    Research Fellow (Biostatistics/Data Science)

    Job no: 497144
    Work type: Fixed term / Full time
    Location: Sydney, NSW
    Categories: Associate Lecturer, Post doctoral research fellow

    The National Drug and Alcohol Research Centre (NDARC) was established at the University of New South Wales by the Australian 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 National Drug and Alcohol Research Centre is supported by funding from the Australian Government Department of Health under the Drug and Alcohol Program. The Centre is highly regarded, both nationally and internationally, for its contribution to drug and alcohol research.

    About the roles:

    • 3 year Fixed-term, Full-Time opportunity
    • Academic Level A/B: $76,570 - $126, 386 (+ 17% superannuation & Leave loading)
    • Sydney, Australia based

    The Research Fellow (Biostatistics/Data Science) will work across a number of ongoing epidemiological forming part of the Drug Trends program. The Drug Trends program is entering an exciting new phase, adopting novel methods to respond to new challenges in monitoring substance use and innovative communication strategies to reach national and international audiences. The position will have the opportunity to work with and report on various data sources, including large routinely collected data collections (e.g., drug-related hospitalisations and mortality), primary data collected through interviews with people who use drugs, and online drug marketplace data. The Research Fellow will help to bring innovation and improvements to monitoring of alcohol/drug use and harms in Australia into the future. The role of Research Fellow reports to the study Chief Investigator and will have one direct report.

    Please review the position description for more details on the role requirements. Download File PD - Research Fellow Biostatistician Data Science.pdf

    About the successful applicant

    To be successful in this role you will have:

    Level A

    • Masters or recent PhD in statistics, biostatistics, data science or other quantitative discipline. Relevant applied knowledge and experience in a health/medical field would be advantageous.
    • Experience in advanced quantitative analyses and at least two years’ experience of using appropriate statistical packages for complex data sets (e.g., SAS, STATA, or R). Experience in using Python, R or packages for data mining, machine learning, and data visualisation would be advantageous.
    • Experience in cleaning, merging, and managing large data sets, including implementing various strategies to maximise data integrity.
    • Applied knowledge and experience in a health/medical field.
    • Demonstrated high level written and oral communication skills.
    • Demonstrated ability to work independently and as part of a collaborative research team.
    • Knowledge of UNSW health and safety responsibilities and commitment to attending relevant health and safety training.

    Level B (in addition to above)

    • PhD in statistics, biostatistics, data science, or other quantitative discipline, with three or more years of relevant experience.
    • Strong research output, as evidenced by peer-reviewed journals and publications and success in applying and/or attracting competitive research funding.
    • Demonstrated capacity to carry out independent research as indicated by a proven track record of writing manuscripts for publication in peer-reviewed journals.

    You should systematically address the selection criteria from the position description in your application.

    Please apply online - applications will not be accepted if sent to the contact listed.

    Contact: Dr Amy Peacock


    Applications close: 11pm 4th August 2019

    To apply: 

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