The School for Mathematics and Statistics (https://ms.unimelb.edu.au ), and its partner Melbourne Integrative Genomics (MIG, https://research.unimelb.edu.au/integrative-genomics ) are seeking a qualified and enthusiastic Research Fellow to lead cutting-edge research in method development, implementation and analysis of biological data.
The position will be based at MIG and will report to Dr Kim-Anh Lê Cao whose lab specialises in the development of novel computational methods for biological 'omics data (https://lecao-lab.science.unimelb.edu.au ). The incumbent will work closely with our collaborative network across the campus, including the biomedical precinct: Walter and Eliza Hall Institute of Medical Research (https://www.wehi.edu.au), the School of biomedical sciences (Centre for Stem Cells Systems) external Australian and international institutions (France, Canada). Our research combines statistical modelling, efficient computational implementation and 'omics data analysis, including but not limited to transcriptomics and epigenomics at the single cell level, microbiome, to obtain a holistic understanding of a biological system in a healthy or disease state. We contribute to a range of analysis frameworks - unsupervised, supervised and longitudinal.
The position offers a rare opportunity to work in a multi-disciplinary environment amongst statisticians, bioinformaticians and biologists. The prospective applicant will be highly skilled in R programming, will have an excellent understanding of the context in which biological data arise, and will be an excellent team player able to mentor other team members. The successful applicant will be highly encouraged in developing their own research career path and research directions. A small contribution to teaching at the University, within expertise area is also required.
This position may be renewed for an additional two years commensurate with research outputs.