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Research Fellow (Cancer Genomics and Healthcare Data)

Queen's University Belfast

Location: Belfast
Salary: £39,922 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 31st March 2025
Closes: 7th April 2025
Job Ref: 25/112467

We are seeking an exceptional Research Fellow in Cancer Genomics and Healthcare Data to join a new interdisciplinary team at the Patrick G Johnston Centre for Cancer Research (PGJCCR), Queen's University Belfast. You will play a key role at the interface between PGJCCR, Momentum 1.0 (M1.0) One Health Hub, and the Future Medicines Institute (FMI), contributing directly to pioneering research aimed at enhancing cancer treatment and patient outcomes.

Your primary focus will be supporting the creation of connected data infrastructure to support cancer research. This will include application to research into the mechanisms of treatment-induced persistence in colorectal cancer patients undergoing 5FU-based chemotherapy. Leveraging cutting-edge multi-omics techniques— including CRISPR, RNA-seq Mass-Spec, single-cell, and spatial transcriptomics—you will integrate complex pre-clinical and patient-derived datasets. Your insights will be crucial in identifying novel vulnerabilities and predictive biomarkers, influencing both clinical practice and broader research initiatives, such as prostate cancer radiotherapy outcomes.

This position provides exceptional career development opportunities, extensive collaboration across academia, clinical environments, and industry, and the chance to shape critical infrastructure through innovative data-driven approaches.

About the person:

The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria:

  • A PhD in Cancer Bioinformatics or closely related discipline.
  • Significant experience analysing healthcare or 'omics' data, preferably in cancer research.
  • Demonstrated expertise in programming (Python, R, Perl, Shell scripting) and familiarity with Bioconductor and related open-source Omics software.
  • Proven experience in managing large-scale Omics datasets and integrative multi-omics analyses.
  • Evidence of scholarly output through senior-authored publications and presentations at international conferences.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

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