Ecological Statistician

IMPORTANT:  This Advertiser has requested that applicants MUST be National Residents / Valid Work Permit-holders.  Other applicants need not apply.

 

The Australian Institute of Marine Science (AIMS) is a world leader in tropical marine science and conducts research supporting environmental sustainability and economic growth in Australia’s tropical oceans.  Through our highly skilled and innovative staff, state-of-the-art infrastructure, strong national and international collaborative relationships and valued technical support, we are helping to build Australia’s national marine science capability so that together we can meet the challenges facing our marine estate.

The Institute operates from facilities in Townsville Queensland, Darwin Northern Territory and Perth Western Australia.

 

About this Opportunity

You will contribute to internationally recognised marine research by applying your advanced skills in experimental design and biostatistics to provide solutions of complex problems of marine ecology, biodiversity and ecosystem health. 

Your focus will be on:

• Managing a portfolio of tasks including the analysis and interpretation of complex experimental, survey and/or monitoring data;
• Provide advice to colleagues on experiment design, analysis of data and statistical software;  and
• Collaboration with colleagues on design and research of monitoring projects and authoring quality scientific papers and reports. 

This is an excellent opportunity to join a world leading organisation with attractive working conditions including a 9-day fortnight, generous leave entitlements, transportation to site, a salary range of $97,656 -  $127,120 and 15.4% superannuation.  This role is being offered for a minimum 5 year term and will be based in Townsville, Queensland.

 

About You

You will have a PhD in science with the ability to demonstrate you can apply quantitative skills to ecological data.   You will be proficient in using statistical software R or python together with demonstrated experience in analysing complex data sets, such as time series and spatial data.

 

Next Step

Download the position description and application guide below.  Candidate applications must include responses addressing the selection critieria together with a current CV highlighting your key strengths, skills and experience applicable to the position.  The selection criteria can be found in the position description.  

Position enquiries can be directed to Murray Logan, Biostatistician m.logan@aims.gov.au

Applications close 18 September 2015.