Computational Biologist in Single Cell Genomics

Applications are invited for an experienced and highly motivated individual to lead the analysis of single cell gene expression profiling data investigating transcriptional changes in response to brain state, as part of a Wellcome Trust Collaborative award.

The successful candidate will lead the analysis of single cell RNAseq profiles from thousands of neurons, representing the entire fly midbrain, from flies in different brain states. They will work closely with experimental collaborators within the Centre for Neural Circuits and Behaviour to answer important questions in neuroscience; investigating how the transcriptomes of individual cells change in response to learning and internal states, and to understand how sex-specific neuronal identity emerge from transcriptional programmes.

You will hold a PhD 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.

The position is available fixed-term until 30 March 2024, funded by the Wellcome Trust.

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

Consideration will be given to applicants who do not fulfil all the criteria for a Grade 8 appointment with reduction in duties and criteria to a Grade 7 appointment (£33,309- £ 40,927 per annum).