The Associate Director, Research Biostatistics provides strategic and scientific statistical leadership across CSL Research programs and translational science initiatives, partnering with multidisciplinary teams to design studies, analyse complex research datasets, and generate decision-relevant evidence that supports project and portfolio progression. Lead and perform complex statistical analyses across preclinical, translational, biomarker, imaging, omics, and human research datasets using advanced methodologies such as Bayesian methods, causal inference, longitudinal modelling, and machine learning.