Computational Biologist in Single Cell Genomics

Nuffield Division of Clinical Laboratory Sciences, University of Oxford

Oxford, South East England, United Kingdom

Salary: Grade 8: £40,792 - £48,677 p.a.

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 5 year 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 be have expereince 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 computational genomics is highly desirable.

The position is available fixed-term for 5 years from 1 April 2019, 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 of the criteria for a Grade 8 appointment. A reduction in duties and criteria for a Grade 7 appointment (£32,236 - £39,609 p.a.) are detailed in the job description.

The closing date for this position is 12.00 noon on Friday 22 February 2019.

Please apply via recruiter’s website.

Quote Reference: University of Oxford-itox_ac-138770