Job Information Organisation/Company
QUEENS UNIVERSITY BELFAST Research Field
Biological sciences Researcher Profile
First Stage Researcher (R1) Country
United Kingdom Application Deadline
11 Sep 2023 - 00:00 (UTC) Type of Contract
Other Job Status
Full-time Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Application closing date: 11/09/2023
Salary: \xc2\xa337,099 - \xc2\xa340,521 per annum
Job category/type: Research
The School of Medicine, Dentistry & Biomedical Sciences (MDBS) at Queen\'s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow. The successful candidate will join the multi-disciplinary Prostate Cancer genomics and radiation biology team led by Dr\'s Simon McDade, Melissa LaBonte-Wilson and Prof Suneil Jain.
This prestigious \xe2\x80\x9cBPCC genomics and bioinformatics fellow\xe2\x80\x9d post, has been funded as part of the philanthropically funded Belfast Prostate Cancer Centre (BPCC) in the Patrick G Johnston Centre for Cancer Research (PGJCCR) at Queen\'s University Belfast. Where they will not only contribute to the substantial ongoing research programme building on datasets from lab and clinical studies developed as part of the ongoing FastMan PCUK-Movember Prostate Cancer Centre of Excellence (CoE), a joint research programme with the CRUK Manchester Institute, the successful candidate will also be expected to develop their own avenues of research toward fellowship and funding applications.
The successful candidate will build and apply novel genomic lab and analysis methods and integration strategies to support research aimed at discovering and validating novel treatment approaches to improve treatment outcomes for men with locally advanced and metastatic prostate cancer treated with radiotherapy. This will include applying a range of methodologies for integrative analysis across a range of genomics datatypes including RNA-seq, low pass copy number, targeted DNA panels, single cell and spatial transcriptomics as well as epigenetic profiling (ChIP-seq and ATAC-seq) and CRISPR screens. They will also support artificial intelligence/machine learning efforts to integrate these data modalities with longitudinal clinical, pathological and imaging data including unique digital pathology and radiomics datasets as part of a broader interdisciplinary team.
Working directly within the McDade/Wilson group, they will also provide support for managing genomics data and data-processing and analysis pipelines to enable data interpretation to support research in broader research groups. They will also contribute to teaching and research supervision within the School and will contribute to manuscript and grant writing as appropriate.
The successful candidate must have, and your application should clearly demonstrate you have:
EURAXESS
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