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Post-Doctoral Research Associate (PDRA) Computational Scientist

Imperial College London

Location: London
Salary: £46,593 to £54,630 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 6th June 2024
Closes: 21st June 2024
Job Ref: MED04596
 

Location: Hammersmith Hospital Campus

Job Summary

The position is open for a Computational Scientist who will join Dr Sung Pil Hong's laboratory at Imperial College London (Hammersmith Campus) as a Postdoctoral Research Associate.

The Hong Lab aims to investigate non-genetic intratumoral heterogeneity and its role in drug resistance in patients with oesophageal cancer. Oesophageal cancer presents a dismal clinical outcome and ranks as the 7th most common cause of cancer deaths in the UK. Intratumoral heterogeneity has been identified as a major driver of drug resistance and cancer progression. Previous studies have failed to identify pre-existing resistant clones harbouring mutations in oesophageal cancer, suggesting that non-genetic intratumoral heterogeneity might be a key driver of resistance. Persister cells are drug-tolerant and can adapt to drug stress through a non-genetic mechanism, but they are genetically indistinguishable. However, these persisters have not been elucidated in oesophageal cancer. Dr. Hong’s laboratory has an established track record in utilizing state-of-the-art single-cell multiomic technologies in patient samples to delineate non-genetic intratumoral heterogeneity and identify therapeutic targets in drug-tolerant persisters. The project is funded by Cancer Research UK. Furthermore, Dr. Hong’s team has collaborated with Dr. Itay Tirosh at the Weizmann Institute of Science in Israel to develop a robust pipeline to elucidate the transcriptional and epigenetic meta-programme governing drug resistance in oesophageal cancer. We invite applications for a Computational Scientist to work on the analysis of single-cell Multiomic datasets as well as single-cell spatial transcriptomics generated through our investigations of sequential tumour samples and patient-derived organoids. 

Duties and responsibilities

As a computational scientist, the candidate will play a critical role in processing, developing, and troubleshooting key single-cell transcriptomic and epigenomic datasets generated from the CRUK project. This will include developing, optimizing, and curating robust pipelines to annotate cancer cells and tumour niche cells, identify gene regulatory networks and major regulators, and identify biomarkers and therapeutic targets in oesophageal cancer. While the candidate will predominantly work at Imperial College London (Hammersmith Campus), they will also collaborate closely with internal and external collaborators. The candidate will provide support and training to research staff, MRes, MD, and PhD students within the laboratory.

Essential requirements

  • Hold or be about to obtain a PhD, or equivalent level of professional qualifications and experience, in bioinformatics, computational biology or related biomedical sciences,
  • Proven experience with state-of-the-art computational biology methodologies,
  • Working knowledge of R, Python, Bash scripting and statistics
  • Proven experience in genomics and epigenomics data analysis and interpretation at bulk and single-cell levels. Experience using multi-omics technology is a plus

Further Information

This position is full time, fixed term for 3 years in the first instance, but comes with the possibility of further funding based at the Hammersmith Campus.

Should you require any further details on the role please contact: Sung Pil Hong (s.hong@imperial.ac.uk)

*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant and uplifted to PDRA once their PhD is awarded.

For technical issues when applying online please email sjobs@ic.ac.uk

Closing date: 21 June 2024

Apply online via the above ‘Apply’ button.

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