Orygen, The National Centre of Excellence in Youth Mental Health (Orygen) is the world’s leading research and knowledge translation organisation focusing on mental ill-health in young people. At Orygen, our leadership and staff work to deliver cutting-edge research, policy development, innovative clinical services, and evidence-based training and education to ensure that there is continuous improvement in the treatments and care provided to young people experiencing mental ill-health.

The Company has three Members: the Colonial Foundation, The University of Melbourne and Melbourne Health.

The University of Melbourne has an agreement with Orygen for designated employees to be made available to undertake activities for Orygen, and this arrangement will apply to you.

University employees working at Orygen are required at all times to continue to adhere to University policies, procedures, regulations and statutes, as well as to Orygen policies and procedures, but the University’s policies and procedures shall prevail in the event of any inconsistency. For the period of participating in activities at Orygen, you will be subject to the reasonable control and direction of Orygen. You consent to the University disclosing to Orygen your personal employment information solely for the purposes of facilitating your secondment to Orygen, and that such disclosure will not be a breach of any of your privacy rights.

The Biostatistician / Statistician / Applied Data Analyst will be responsible for the extraction, cleaning, analysis, and interpretation of psychometric data obtained through the research activities of a major NHMRC funded Partnership Grant. This grant focuses on developing youth-specific change and outcome measures for effective youth mental health service delivery. The Biostatistician / Statistician / Applied Data Analyst, under the supervision of the Chief Investigator, will manage the data from each of the four projects under this grant, which collectively aim to develop new measures of change and outcome and implement these in a range of mental health service settings and to evaluate the effectiveness of treatment in these services.

The Biostatistician / Statistician / Applied Data Analyst will work in close collaboration with the Chief and Associate Investigators in addition to research, evaluation and key mental health service staff as required. The Biostatistician / Statistician / Applied Data Analyst will manage datasets pertaining to service use, outcome measure validation, and fidelity, gathered from multiple sites across Australia. Additionally, the Biostatistician / Statistician / Applied Data Analyst will be required to contribute towards academic publications of project data and related research, as well as attend regular research and supervision meetings to monitor progress and development of the study outcomes.

The Biostatistician / Statistician / Applied Data Analyst will report to, and work under the direction of Chief Investigator Professor Sue Cotton, who in turn reports to the Chair of Youth Mental Health.

The role

  • Full-time fixed term position available for 12 months
  • Research and research training
  • Data entry, cleaning, management, and statistical analysis .
  • Generate analysis plans relevant to the specific research questions of the project.
  • Report and provide updates on the data analysis plans and outcomes to the Chief Investigators of the project.
  • Provide written reports detailing data analysis procedures and results of the project data, in a format suitable for publication.
  • Work collaboratively with key stakeholders of the project, under the supervision of the Chief Investigators of the project.

Leadership and service

  • Provide service to the University and actively participate in meetings and committees as appropriate.
  • Other duties commensurate with the position as directed by the Supervisor.
  • Occupational Health and Safety (OH&S) and Environmental Health and Safety (EH&S) responsibilities as outlined in section 5.

About you


  • Postgraduate (honours level) qualification in either the behavioural, social sciences, statistics and/or other related discipline.
  • Demonstrated experience working with, and conducting analyses of large psychometric datasets.
  • Demonstrated proficiency in data entry, data management, and data analysis.
  • Intermediate to advanced knowledge and experience in the use of statistical analyses software, particularly IBM® SPSS® Statistics or Stata.
  • Demonstrated ability in contributing towards research publications, particularly in the field of health/mental health.
  • Demonstrated administrative and organisational skills including the ability to set priorities and meet deadlines.
  • Demonstrated ability to work both independently and collaboratively.
  • Excellent oral and written communication skills and interpersonal skills.
  • Competence in the use of Excel, Word, and other Microsoft Office Suite programs.


  • Relevant higher degree.
  • Experience working in a mental health setting.
  • Longitudinal data analysis skills.
  • Hierarchical/mixed modelling data analysis skills.

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