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Postdoctoral Research Assistant in Disease Gene Regulation

University of Oxford - RDM Division of Cardiovascular Medicine

Location: Oxford
Salary: £33,309 to £40,927 per annum, Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th October 2021
Closes: 4th November 2021
Job Ref: 153429

RDM Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, OX3 9DU

Grade 7: £33,309 - £40,927 per annum

Applications are invited for a highly motivated Postdoctoral Research Scientist to join a programme studying the effect of genome sequence variants and predisposition to cardiovascular disease. The post is funded by the BHF-DZHK and is available immediately fixed-term until 31st August 2023.
The position forms part of a new collaboration between the Division of Cardiovascular medicine and the Weatherall Institute of Molecular Medicine, in the Radcliffe department of Medicine, Oxford. 
This project brings together world-leading experts in cardiovascular disease and functional genomics. The successful applicant will join an interdisciplinary team investigating the mechanisms by which non-coding changes in genomic sequences affect gene regulation and disease susceptibility. Using cutting edge methods to validate the regulatory function of variants the successful applicant will utilise the genomics, bioinformatics, and disease expertise of the Hughes and Watkins Labs.
A biological PhD is required with demonstrable experience in Next Generation Sequencing (NGS), technologies such as epigenomics and/or transcriptomics with basic competence in command line computational environments. Applicants should have enthusiasm and demonstrable knowledge of the key questions and recent developments in human genetics and genome function. The position will employee a pipeline to decode the GWAS signals of cardiovascular disease. This pipeline is comprised of multiple cutting edge genomics and computational methodologies including the highest resolution Chromosome Conformation Capture (3C) methods available; NG Capture-C ( ) and MCC ( ). These will be used in conjunction with, genome editing, single cell technologies and powerful Deep Neural Network based Machine Learning approaches to predict genome function from sequence (deepC and deepHaem 
Applications for this vacancy are to be made online; you will be required to upload a CV and supporting statement which explains how you meet the selection criteria for the post.
Only applications received before 12.00 midday on 04 November 2021 can be considered. Interviews are scheduled to place in mid-November.
The University is an Equal Opportunity Employer
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