• Make a difference within Australia’s largest child health Research Institute
• MCRI is one of the top five child health research institutes worldwide
• Supporting our scientists to improve child health outcomes

Generation Victoria (GenV) is a new whole-of-state Research initiative led from the Murdoch Children’s Research Institute (MCRI), aiming to transform large-scale Children’s Research in Victoria.

We currently require a Full Time Biostatistician (Research Officer) on a 12 month contract to join the GenV Program. This position will be responsible for biostatistical leadership within the Gen V project, as it takes shape over the next few years. The appointee will engage in a broad range of activities related to Gen V, including collaboration with and support for emerging Gen V related research, and to the broader training and translation activities of Clinical Epidemiology & Biostatistics Unit (CEBU).

You will also be responsible for:

• Contributing to the development of the Gen V data repository, by providing expert enduser statistical input.
• Leading analyses of LifeCourse cohort study data including linked administrative data, to produce research outputs in collaboration with Gen V researchers and to test the data repository structure.
• Supervision of junior staff performing data cleaning and data preparation, in conjunction with the Gen V IT team.
• Providing analyst input to discussions and bridging work between Gen V and Royal Children’s Hospital (RCH) data, including potential problems and novel topics arising in modern clinical informatics (e.g. high-density unstructured data and computationally intensive analytics such as machine learning).
• Liaising constructively between Gen V and the range of analytic and related expertise that already exists within CEBU.
• Providing advice regarding potential future Gen V initiatives (e.g. grant proposals for pilot studies, early analysis etc.).
• Contributing to epidemiological research projects as a biostatistical collaborator.
• Undertaking methodological research that is relevant to primary responsibilities within Gen V and its developing needs.
• Contributing to the supervision and mentoring of research students.
• Presenting research seminars at team meetings, workshops and conferences.
• Contributing to the training and research support activities of CEBU and the GenV team.

Key Selection Criteria
To be successful in this role you will have:

• PhD in biostatistics or equivalent research experience with Master of Biostatistics or similar.
• Experience in applying (and preferably in evaluating or developing) statistical methods for longitudinal epidemiological studies.
• Excellent statistical computing skills including experience in performing complex data manipulation and statistical analysis using either of the statistical packages R or Stata.
• Record of postdoctoral research output as evidenced by publication of peer-reviewed scientific articles.
• Excellent written and verbal communication skills.
• Demonstrated ability to work independently and collaboratively to achieve project goals and meet agreed deadlines.
• Familiarity with issues related to health research, principles of confidentiality, privacy, and information handling.
• Working with Children & National Police Clearance (if appointed) in compliance with the Victorian Governments Child Safety Standards.

Only applicants who address the key selection criteria will be considered. Please place your responses to the key selection criteria at the end of your cover letter.

Murdoch Childrens Research Institute is Australia’s largest and most prestigious child health research institute. We conduct innovative world class research into identification, prevention and treatment of conditions affecting the health of babies, children and adolescents.

Our partnership with the Royal Children’s Hospital and the University of Melbourne’s Department of Paediatrics allows us to translate discoveries in laboratory, clinical and public health research into real benefits to help children live healthier, happier lives.

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