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Research Associate- Computational Biologist

The University of Manchester - Biology, Medicine & Health

Location: Manchester
Salary: £33,309 to £40,927 per annum depending on relevant experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 23rd June 2022
Closes: 6th July 2022
Job Ref: BMH-019252
 

The Manchester Cancer Research Centre (MCRC) is seeking a talented and ambitious computational biologist to play a key role in a multiomic research study of gastric cancer.

The aim of this Cancer Research UK funded project is to identify factors that drive tumour formation in patients with hereditary diffuse gastric cancer (HDGC) and will include fine resolution spatial analysis of tumour cells, pre-cancerous lesions and normal gastric tissue. We are looking for a postdoc with computational skills and an interest in Whole Genome Sequencing data and multiomic data integration to lead the analysis of this cohort. This project is a collaboration between the University of Manchester and the University of Cambridge, so an ability to communicate well with other researchers is essential.

Manchester Cancer Research Centre

(http://www.mcrc.manchester.ac.uk)

The Manchester Cancer Research Centre (MCRC) was established in 2006 by three founding partners: The University of Manchester, Cancer Research UK and The Christie NHS Foundation Trust. Since its creation, the MCRC has widened its reach to drive forward cancer research in other NHS trusts within Greater Manchester and to link with other cancer-specific funding bodies.

The vision of the MCRC is to be a world-leading comprehensive centre for translational cancer research – transforming the clinical care of cancer patients by developing and implementing an integrated personalised medicine strategy.

Our strategy harnesses the power of basic and discovery research within the CRUK Manchester Institute, the wider scientific community within The University of Manchester, including the chemical and physical sciences, as well as the research taking place within the clinic.

The research of the Wedge lab is focused on Cancer Evolution and Heterogeneity. We analyse genomic and other data to characterise clonal and sub-clonal populations of cells within tumours. We have pioneered the development of computational methods to decompose DNA sequencing data and thereby generate genomic profiles of sub-populations within each tumour. We track the evolutionary trajectories of tumours and, by aggregating chronologies across thousands of tumours, are starting to discover common pathways to progression across multiple cancer types, including prostate, breast, colorectal, lung, oesophageal, and haematological cancers. Through our research we aim to improve clinical practice by advancing our understanding of the processes and mechanisms involved in the progression of tumours from pre-malignant to aggressive, treatment-resistant and metastatic cancers. We are seeking a talented computational biologist to join our team in Manchester.

The School/Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School/Department holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/       

Our University is positive about flexible working – you can find out more here

Blended working arrangements may be considered

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof. David Wedge

Email: david.wedge@manchester.ac.uk

This vacancy will close for applications at midnight on the closing date.

Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button above to find out more

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