Bioinformatic and computational decoding of pluripotency

An exciting opportunity is available in the laboratory of Austin Smith  Profile | Living Systems Institute | University of Exeter to develop and lead a programme of computational and bioinformatics analyses to delineate developmental trajectories, decipher the regulatory networks of pluripotency, and to generate predictive models of GRN dynamics.

You will work mainly with single cell NGS data from natural and synthetic embryos, and from stem cell differentiation time courses and perturbation studies. The study will include comparative analyses between human, non-human primates and other mammals, using stem cells and embryos. You will create and implement algorithms, analysis methods and visualisation tools for interrogation of multi-omic single cell datasets.

You will have the opportunity to supervise project students. In addition to your own research projects, you will advise and support wet lab researchers in the group. You will implement and maintain NGS bioinformatics pipelines and be responsible for data management for the group.

Prior knowledge in stem cell or developmental biology is not necessary, but experience in working closely with experimental researchers is essential.

The post is available immediately and funded until 30 April, 2027.