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Principal Computational Biologist

The University of Manchester

Location: Manchester
Salary: £31,334 to £43,000 per annum (dependent upon experience)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th August 2019
Closes: 19th September 2019
Job Ref: MI/19/41
 

Duration: Fixed term until 19 January 2022

About the role:

A post for a Principal Computational Biologist is currently available within the Manchester Centre for Cancer Biomarker Sciences (MCCBS) led by Prof Caroline Dive CBE at the CRUK Manchester Institute (CRUK MI) linking with colleagues at the University's Single Cell Centre. The MCCBS has an international reputation for liquid biopsies and the post holder will focus on the analysis of genomics data derived from individual cancer cells, including Circulating Tumour Cells (CTCs, see Carter et al. (2017) Nature Medicine). Within the MCCBS, you will join the Bioinformatics and Biostatistics (BBS) Team led by Dr Alastair Kerr and work closely with Prof Ged Brady the MCCBS deputy and leading expert in nucleic acids biomarkers.

You will be (or become) an expert in and champion single cell analysis, developing grant applications within the team and providing guidance to enable best practice for experimental design. Working with the CRUK MI High Performance Computing [HPC] Team, you will enable programs and pipelines for analysis, establish approaches for the integration of the analysis with multiple genome-wide ‘-omics datasets including DNA and RNA sequencing and turn these into robust analytical pipelines that will be used to explore the clinical consequences of inter-cell heterogeneity on tumour evolution and therapy responses.

Longer-term ambitions include the analysis of single cell methylomics and ChIP sequencing data. You will have access to the dedicated HPC genomics core facility at the CRUK MI, and will write computationally intensive code to analyse high volumes of cancer genomics data.

Meet our bioinformaticians and statisticians within our service and research groups: https://www.cruk.manchester.ac.uk/recruitment/candidate/meetourteam

About you:

You will have a PhD in Computational Biology, Statistics, or a related discipline or a relevant postgraduate degree plus significant relevant experience. You will have strong communication skills and a desire to apply your talents collaboratively with scientists across disciplines with an ethos of team science.

In addition, you will have significant relevant experience developing R/Bioconductor, be conversant with software engineering techniques and have an excellent grasp of the statistical approaches used to analyse genome-wide datasets.  The post will suit a highly enthusiastic scientist with a desire to see single cell genomics help unravel tumour heterogeneity and evolution to optimise precision medicine for cancer patients.

Why choose Cancer Research UK Manchester Institute?

The Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk), an Institute of The University of Manchester (www.manchester.ac.uk), is a world-leading centre for excellence in cancer research.  The Institute is core funded by Cancer Research UK (www.cancerresearchuk.org), the largest independent cancer research organisation in the world. We are currently situated at the internationally-renowned life sciences campus at Alderley Park in Cheshire England, 15 miles from Manchester, a vibrant and dynamic city surrounded by beautiful countryside.

We are partnered with The Christie NHS Foundation Trust (adjacent to the CRUK MI Paterson Building) in South Manchester (www.christie.nhs.uk), one of the largest cancer treatment centres in Europe.  These factors combine to provide an exceptional environment in which to pursue basic, translational and clinical research programmes

How to apply?

To apply for this position please visit our website: https://www.cruk.manchester.ac.uk/recruitment/candidate/searchvacancies

For any informal enquiries about this post, please contact Dr Alastair Kerr, BBS Team Lead, email: alastair.kerr@manchester.ac.uk.

Please note this vacancy will close for applications at 11:59pm, Thursday 19 September 2019.

   
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