Computational Biologist in Single Cell Genomics

You will work closely with experimental collaborators within the Centre for Neural Circuits and Behaviour to answer important questions in developmental neuroscience. You will lead the analysis of single-cell RNAseq & ATACseq profiles from hundreds of thousands of neurons, representing the entire fruit fly midbrain, from flies across development stages, to build a map of neuronal development and understand how sex-specific neuronal identity emerges from transcriptional programmes.

With a PhD or MSc in a quantitative discipline (e.g. bioinformatics, computational biology, physics, statistics, engineering or mathematics), you will have experience of working in a Linux environment and be proficient in Python and R. Excellent interpersonal and communication skills, with the ability to convey concepts to other scientists in different fields of research are essential. Experience in analysis of single cell gene expression data is highly desirable.

Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, MRC WIMM Centre for Computational Biology, John Radcliffe Hospital, Headington, Oxford
At the MRC WIMM Centre for Computational Biology (CCB), we work alongside scientists and clinicians to realise the potential of 'big data' in biology by exploiting complex information to make discoveries that benefit human health. The CCB encompasses an international team of over 40 computational biologists, working closely with 500 lab-based scientists and clinicians.
As part of a Wellcome Trust Collaborative award, applications are invited for a highly motivated individual to lead the analysis of single-cell gene expression and open chromatin profiling data, investigating transcriptional regulation during Drosophila Melanogaster brain development.