Research Scientist – Ecological Statistician
About this Exciting Opportunity
You will contribute to internationally recognised marine research by applying your advanced skills in experimental design and ecological statistics 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. At AIMS, the way we work guides our team members' on their collective journey towards the successful delivery of our AIMS Strategy 2025 targets.
Apply now and join a world leading organisation with attractive working conditions. In line with our Enterprise Agreement, the successful candidate will be rewarded with:
- AIMS AOF Level 5 salary ($109,976 to $120,564 per annum) plus 15.4% superannuation
- Free Onsite Gym (in Townsville) and Optional Fitness passport
- 9-day fortnight
- Flexible Work Arrangements considered (including tele-working where possible)
- Generous leave provisions
- Full-time, 5-year Fixed Term opportunity
- Located in either: Townsville (Qld), Darwin (NT) or Perth (WA). Relocation Assistance available
- Non-Australian Citizens must hold an appropriate Visa with working entitlements that allows paid employment with AIMS for the term of the appointment, depending on the relevant Department of Home Affairs current policies.
- Darwin or Perth location - It is a requirement of this role that you are and remain fully vaccinated against COVID-19. Please note the sighting of proof of vaccination will be required as a pre commencement requirement. Townsville location - AIMS strongly encourages all employees to be fully vaccinated against COVID-19. Whilst it is not currently a mandatory requirement for this role, AIMS reserves the right to review its position and policy on mandatory vaccinations. It may therefore become a mandatory requirement for this role in the future.
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:
- Sound and demonstrated theoretical and practical knowledge of both Frequentist and Bayesian statistical techniques
- Proficiency in using statistical software R or python
- Demonstrated experience with techniques to support reproducible research workflows
- Superior communication skills for presenting science verbally and in peer-reviewed literature
- The ability to work collaboratively in a team environment with professional and technical staff
Further information about this exciting and challenging opportunity is outlined in the Candidate Information Pack which is available to download below. If, after reviewing the position description, which is included in the Candidate Information Pack, you believe that your qualifications, experience and professional capabilities will enable you to successfully the deliver the position responsibilities, we would be very interested in hearing from you.
Below you will also find a link to our Recruitment Application Guide which details the necessity to submit your statements addressing your suitability against the selection criteria within the scope of the position description, which are detailed in the Candidate Information Pack.
Submitting your application: Please ensure that you have your completed documents (selection criteria responses, resume and cover letter) ready to attach to your online application form via our e-recruitment system which can be accessed via the "apply now" button below.
Shortlisted applicants may be asked to complete a personal outlook analysis questionnaire using the Birkman Method.
Position enquiries are to be directed to Dr Diego Barneche at firstname.lastname@example.org
Applications close: WEDNESDAY, 17 AUGUST 2022 (midnight, AEST).