First listed on: 01 July 2019

Ecological Statistician


About AIMS

The Australian Institute of Marine Science (AIMS) is Australia’s tropical marine research agency.

Our research into some of Australia’s iconic marine ecosystems guides their management and that of similar systems around the world. We do marine science that has practical benefit to the real world, providing high quality, large-scale and long-term research that is used by governments, industry and the wider community to make informed decisions about the Great Barrier Reef, North-West Shelf and Arafura and Timor Seas.

AIMS researchers at our locations in Townsville, Darwin and Perth have access to the best tools and equipment like the National Sea Simulator, cutting edge laboratories and our fleet of research vessels.

About this Opportunity

You will contribute to internationally recognised marine research by applying your advanced skills in experimental design and biostatistics to the solution of complex problems of marine ecology, biodiversity and ecosystem health in a dynamic and changing environment. You will manage a portfolio of tasks including the analysis and interpretation of complex experimental, survey, and/or monitoring data and will provide statistical advice to colleagues on the design of experiments, analysis of data and use of statistical software. You will also collaborate with colleagues to produce scientific reports, papers and presentations.

Apply now and join a world leading organisation with attractive working conditions. The successful candidate will be rewarded with:

  • AOF Level 5 - 6 Salary ($103,633 – $134,901 per annum)
  • 15.4% superannuation
  • Generous leave provisions
  • Full-time permanent appointment
  • Located in Townsville, Queensland

About You

You will have a PhD in science, or a related discipline, on a topic demonstrating the application of quantitative skills to ecological data. You will have experience analysing complex data sets, including time series and spatial data and be able to demonstrate:

  • Knowledge of statistical theory including the design of experiments and longitudinal studies;
  • Proficiency in using statistical software R or python;
  • Superior communication skills for presenting science verbally and in peer-reviewed literature; and
  • The ability to work collaboratively in a team environment with professional and technical staff.

Next Step

If this opportunity is something you are interested in, please download the application information, position description and selection criteria from the links below. Candidates are advised that applications must include statements addressing the selection criteria.

Position enquiries can be directed to Dr Murray Logan,

Shortlisted applicants may be asked to complete a personal outlook analysis questionnaire using the Birkman Method.

Applications close Friday 26 July 2019.


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