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(quantitative and qualitative) using statistical software packages such as Stata, R, mplus, SPSS or similar. High-level organisational skills and proven ability to deal with multiple tasks, establish priorities
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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presentations. Proven previous experience in statistical analysis and reporting of research data (quantitative and qualitative) using statistical software packages such as Stata, R, mplus, SPSS or similar. High
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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potential and performance relative to opportunities when assessing suitability for the role. Applications close Tuesday 24 March at 11.00pm AEST (R-61402). Please note that interviews have been tentatively
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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at 11.00pm AEST (R-57318). Please note that interviews have been tentatively scheduled for 23 and 24 March.
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environments, fluent in R, while ideally have demonstrated experience in cancer or evolutionary genomics. Your key responsibilities will be to: conduct research, scholarly or professional activity independently