The Australian Institute of Marine Science is Australia’s tropical marine research agency.
We are a trusted advisor, a partner and employer of choice, and we value integrity, innovation, collaboration and respect.
AIMS’ research of Australia’s tropical marine ecosystems guides their effective environmental management and contributes to our understanding of similar ecosystems around the world. Our research seeks to deliver practical benefit to all Australians and supports the sustainable use our tropical marine estate. Governments, reef managers, industry and the wider community look to our high-quality, long-term research for informed decisions about our iconic Great Barrier Reef, North-West Shelf, and Arafura and Timor Seas.
AIMS’ expert teams at our locations in Townsville, Darwin and Perth have access to world-class infrastructure, unique data-sets, cutting-edge laboratories and a fleet of modern research vessels.
About this Opportunity
Our Sustainable Coastal Ecosystems and Industries in Tropical Australia research program delivers science relating to the critical issue of cumulative stressors in a broad range of tropical marine habitats within the context of shelf-scale ecosystem drivers. Within this program, the Data Analyst-Water Quality provides data and technical support for our Tropical Water Quality and Impacts team and has a key role in the Marine Monitoring Program (MMP) ‐ Inshore Water Quality.
You will be responsible for improving the data handling procedures of the team by transitioning some existing procedures to semi-automated processes that will increase the efficiency of data output and improve the traceability of data handling. The current research foci for the group are productivity, nutrient cycling, and land‐sea linkages. This research is essential to elucidate the drivers of coastal water quality and identify links with land‐based activities to better inform monitoring and management decisions and enable the achievement of relevant outcomes of the overarching AIMS Strategy 2025.
Apply now and join a world-leading organisation with attractive working conditions. The successful candidate will be rewarded with:
- AIMS AOF Level 3 Salary ($64,793 to $73,008 per annum)
- 15.4% superannuation
- Generous leave provisions
- Full-time, 3-year opportunity
- Located in Townsville, Queensland
In conjunction with your tertiary qualification in physics, mathematics, statistics, data science, environmental science, oceanography or a related field, your strong programming skills and experience using software such as Matlab, R, or Python will enable you to provide data and technical support for AIMS’ water quality monitoring programs. Your suitability for this role will also be considered against your demonstrated:
- Knowledge of and ability working with relational databases (such as MS Access);
- Experience conducting quality assurance and quality control of large datasets;
- Experience working with (e.g., processing, cleaning, or analysing) data from environmental sensors, especially CTDs or moored instruments (e.g., temperature, salinity, turbidity, or fluorescence loggers); and
- Experience using exploratory data analysis techniques including statistical approaches and data visualisation.
Further information about this exciting and challenging opportunity is outlined in the position description available via the link below. If, after reviewing the position description, 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 receiving your application.
Instructions on how to apply are detailed in our Recruitment Guidelines, including the necessity to submit your statements addressing your suitability against the selection criteria which is listed on the position description.
Shortlisted applicants may be asked to complete a personal outlook analysis questionnaire using the Birkman Method.
Position enquiries can be directed to Renee Gruber at email@example.com.
Applications close Tuesday, 3 March 2020