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Statistical analyst

Hobart
beBeeStatistician
Posted: 17 September
Offer description

Job Title: Statistical Analyst

Cosmopolitan cities with varied economic, social and environmental benefits - this is the Australia we strive for. Our goal is to ensure sustainable coastal development and growth of marine industries while protecting the country's marine environment.


About Our Research Program:

The COR program focuses on the sustainable use and conservation of the marine environment. We aim to provide knowledge to manage Australia's marine estate and atmospheric environment.


About You:

We are seeking an experienced Statistical Analyst who will collaborate and support various projects within our team. As a key member, you will work closely with project leaders in different domains to develop and deliver collaborative research projects and capacity building activities.


Key Responsibilities:

* Develop and/or implement statistical methodologies for complex systems from ecosystems to genes, adapt existing methods to these systems, and develop new ones where none exist.
* Analyse physical, biological, ecological, biochemical tracer, and genetic/eDNA data using defined methods to understand the connectivity, drivers, and dynamics of ecosystems/species and produce risk assessments with estimates of the associated uncertainty.
* Link the ecological, biological, biochemical tracer, genetic/eDNA, and spatial modelling components of projects to current data on and future scenarios of growth in human pressures on marine systems (shelf, deep sea, and pelagic), and environmental change, to provide recommendations about spatial management priorities.


Requirements:

* PhD or equivalent qualifications and research experience in a relevant field such as ecology, statistics, or bioinformatics.
* Demonstrated ability to undertake original, creative, and innovative research by generating and pursuing novel ideas and solutions to scientific research problems.
* Experience in or knowledge of programming languages such as R/C/C++, package building in R, and the efficient processing of large and diverse datasets.
* Desirable skills include experience in marine ecology and the marine environment, database and GIS software, linux operating systems, and clusters.

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