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Pharmacoepidemiology Researcher

2 months ago

Adelaide, South Australia SAHMRI Full time
About the Role

We are seeking a highly skilled Pharmacoepidemiology Researcher to join our team at SAHMRI. As a key member of our research team, you will be responsible for conducting high-quality research with a focus on pharmacoepidemiology and health services for older people accessing aged care.

Key Responsibilities:
  • Conduct analyses of large datasets, including aged care data, Pharmaceutical Benefits Scheme data, Medicare Benefits Schedule data, and hospitalisation records.
  • Provide pharmaco/epidemiological expertise on protocol development, study design, analytical methods, statistical analysis, interpretation of results, and implications of findings.
  • Undertake and coordinate high-level statistical analyses, including using complex multivariable modelling, and survival analysis.
  • Prepare papers for publication in high-impact peer-reviewed journals and project report writing in a timely manner.
  • Manage and coordinate research projects needs through their lifecycles, advising/monitoring project timelines, milestones, and deliverables.
  • Collaborate with analytical team data management, linkage efforts, and quality control processes when necessary for ROSA's implementation, performance enhancement, and other areas as needed.
  • Assist with preparation of ROSA grants for competitive funding and project tender submissions in related areas when appropriate.
About You

The successful candidate will possess the following key attributes:

  • PhD degree qualification in pharmacoepidemiology/epidemiology (or public health/medicine/allied health or related field).
  • Minimum of 2 years experience as a pharmaco-/epidemiologist or related role.
  • Excellent proficiency working with at least one software package (i.e., SAS, R, or Stata).
  • Two years experience working with large datasets independently. Preferable experience working with medicines, health service, and/or aged care data.
  • Experience working with observational data, multivariable modelling, confounding/interaction issues, survival analysis, data visualisation.
  • Excellent attention to detail with demonstrated ability to work with a high level of accuracy and competing deadlines.
  • Excellent written and verbal communication skills; including excellent record keeping and version control skills.
  • Demonstrated experience in providing high-level leadership/support to research projects/multidisciplinary teams.