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REF17/160 Trainee Biostatistician, Clerk Grade 7/8, Centre for Epidemiology and Evidence

NSW Government

Sydney, New South Wales, Australia

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Job Posted: 28/09/2017

Job Category:

Apprenticeships & Traineeships / Science & Technology

Job description:

Trainee Biostatistician

NSW Ministry of Health

  • Location: North Sydney (moving to St Leonards in 2019)
  • Classification & Grade: Clerk Grade 7/8
  • Salary Range: $92,470 - $102,359 pa
  • Vacancy Type: Temporary full-time (up to 3 years)
  • Vacancy Reference: REF17/160
  • Closing Date: 30 October 2017


Role Purpose


Trainees gain experience in biostatistics through supervised work placements in a range of locations within the NSW health system, and complete a Master of Biostatistics degree part-time through the University of Sydney. Traineeships commence in February 2018.

Applicants must have an honours degree majoring in statistics, or an equivalent qualification with a substantial statistics component (for example psychology, mathematics or science), and have: an aptitude for advanced mathematical work, high level knowledge of statistical concepts and methods, and extensive experience in the use of statistical software packages. Evidence of your qualification and right to work in Australia must be included in your application.


More information on the NSW Biostatistics Training Program is available at


You are not required to address selection criteria. Applicants are to submit a short statement (1-2 pages) in response to the targeted questions visible on JobsNSW only (to provide evidence of experience against required role capabilities).

Your resume (also known as curriculum vitae or CV) is a snapshot summarising your qualifications, experience, skills and qualities. A resume needs to be clear, concise and neatly organised with content relevant to the role you are applying for, no more than 4-5 pages.

Please review Applying for a Role in the NSW Public Service for more guidance.


The Ministry of Health values diversity and is committed to building an inclusive workplace culture that reflects the community we serve. We encourage applications from diverse community groups including Aboriginal and Torres Strait Islander people and people with a disability.


Job Notes:

  • All applications must be submitted on line via to be considered.
  • Your application must include your response to the targeted questions (visible on JobsNSW only), an up to date resume/CV, a full academic transcript for your relevant qualification(s) and evidence of your right to work in Australia for the duration of the traineeship (e.g. evidence of Australian citizenship, permanent residency, or visa with work rights).
  • Relevant screening checks will be conducted as well as Prior Service checks for internal applicants.
  • You are advised not to delete any "Relevant Files" that you upload in the jobs.nsw application system until you know the outcome of your application, including your Resume/CV and/or Cover Letter. Doing so will result in the selection committee being unable to access your application.
  • You need to demonstrate your proficiency in the capabilities described in the Role Description. These will be assessed through the recruitment process to determine your suitability for appointment. NSW Public Sector Capability Framework
  • The assessment process may include additional online capability testing / work samples in accordance with the Government Sector Employment Act.


For an information package please click here.

Role Inquiries: Contact Alex Scott on (02) 9391 9204 or email


Targeted Questions:

  1. Describe your experience of using statistical software packages to manipulate and analyse data sets, including any experience you have of working with health data.
  2. Provide an example of a project that you have been involved in where you were required to perform a significant amount of data analysis. This could be a project with a large data set, or one where the analysis was complex. Include the project background, your role in the project, how you went about refining the research questions and determining the most appropriate statistical methods, and outline the conclusions from the data analysis in layman’s terms.