英国牛津大学博士后职位—下一代测序数据分析方向

Postdoctoral Research Assistant in the Analysis of Next-Generation Sequencing Data

University of Oxford

Description

Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, MRC Molecular Haematology Unit, John Radcliffe Hospital, Headington, Oxford OX3 9DS

The position as Postdoctoral Research Assistant in NGS data analysis is available with an immediate start.

You will work on a collaborative, MRC funded project that studies the role of the TrkB/BDNF signalling system in the development of hippocampal circuits. You will be responsible for the analysis of RNAseq and ATACseq data, including Unix-based data processing and R/Bioconductor-based data analysis, as well as curation and submission of data to public repositories. There will be the opportunity to participate in the data generation, including cell isolation and library generation.

The project is a collaboration between the Minichiello and Nerlov laboratories at the University. The Minichiello lab has a long-staning track record in basic and translational neurobiology, and the role of TrkB/BDNF signalling in neuronal development and disorders. The Nerlov lab has extensive experience with NGS technologies. You will collaborate with both laboratories to design NGS experiments and analyse the resulting data sets.

You will hold a PhD (or be near to completion: thesis submitted) in a relevant area at the time of application. Experience with computational analysis of NGS data, including Unix and R-based pipelines is essential. You will have demonstrated the ability to work collaboratively with the ability to communicate results clearly and succinctly in presentations, manuscripts and grant applications. Experience with the use of genetic mouse models, flow cytometry analysis and, ideally, FACS sorting are desirable.

This position is available fixed-term for 6 months, funded by the Medical Research Council

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.

The closing date for this position is 12.00 noon on Monday 24 October 2022.