Postdoctoral fellow

Computational Decoding of Pluripotency

An exciting opportunity  to develop and lead a programme of computational and bioinformatics research into the molecular network underpinning pluripotency; the potential of a single cell to generate every cell type in the body. The project goals are to delineate developmental trajectories, infer gene regulatory networks and dynamics, and expose cell fate transition paths in embryos and in stem cells in vitro.

You will work mainly with single cell next generation sequencing data from stem cell self-renewal, differentiation and perturbation studies, and from natural embryos and embryoid models. The study will include comparative analyses between human, non-human primates and other mammals. You will create and implement algorithms, analysis methods, visualisation tools and machine learning approaches for interrogation of transcriptomic and multimodal ‘omics datasets. You will generate models of the pluripotency gene regulatory network and of cell fate transitions that will iteratively inform experimental investigation.

You will have the scope to develop your own research and to supervise project students. You will collaborate with wet lab researchers in design and analysis of ‘omics studies and will have the opportunity to perform your own laboratory experiments if appropriate.

Based in the group of Austin Smith

Smith Group – Living Systems Institute – University of Exeter