Senior Research Fellow in Computational Genomics/Statistics, University of Melbourne

Employer: University of Melbourne

Closing date: 13/11/2017

Brief position description: The School for Mathematics and Statistics and its partner, the Centre for Systems Genomics (CSG), are seeking an enthusiastic research fellow to work on our pioneering projects in statistical integration of large biological data sets, and their implementation in the mixOmics multivariate R toolkit.

The Research Fellow will be responsible for leading cutting-edge statistical developments to address some of the data analysis challenges arising from the latest advances in high-throughput sequencing technologies, including the analysis of microbiome data (amplicon, shotgun sequencing and longitudinal experiments), genetic or single cell sequencing data. In this role you will thrive in a unique multi-disciplinary environment amongst statisticians, bioinformaticians and biologists in this initiative, and enjoy the opportunity to contribute to teaching in the classroom (within your areas of expertise) and for hands-on multiple day workshops. You will be part of the Lê Cao lab that specialises in the development of novel computational methods for biological ‘omics data.

The position will be based at the Centre for Systems Genomics and will report to Dr Kim-Anh Lê Cao. This presents the opportunity to contribute to and benefit from the development of the Centre, to collaborate and interact with several other new appointees in the Statistics and Mathematical & Computational Biology research groups within the School, and with researchers from a wide range of biological research areas who interact with members of the Centre.

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Contact name: Kim-Anh Le Cao

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