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Computational Postdoctoral Research Associate/Research Fellow

King's College London - Comprehensive Cancer Centre

Location: London
Salary: £38,826 to £55,299 per annum, including London Weighting Allowance. Grade 6/7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 30th November 2021
Closes: 31st January 2022
Job Ref: 037546
 

Salary: Grade 6 £38,826 - £45,649 per annum (Postdoctoral Research Associate) or Grade 7 £46,934 - £55,299 per annum (Research Fellow), including London Weighting Allowance

Building and Campus: The Francis Crick Institute

Contact: Professor Francesca Ciccarelli, francesca.ciccarelli@kcl.ac.uk

Hiring manager/s: Francesca Ciccarelli, Jenny Chau

Job description

We seek a motivated, proactive and enthusiastic computational Research Associate or Research Fellow (depending on seniority) to integrate genomic, epigenomic, transcriptomic and high dimensional imaging data to enhance the detection and treatment of oesophageal cancer.

Our group applies systems biology to study cancer evolution combining computational and wet-lab approaches, with a focus on the evolution of gastrointestinal cancers in time and space.

This involves the integration of heterogenous data composed of bulk, spatial and single cell genomic and transcriptomic data as well as high dimensional imaging data of cancer tissue sections, such as those coming from solid cyTOF. We work with patient samples and data of the OCCAMS consortium, one of the largest collection of oesophageal cancers worldwide.

The research projects the candidate will bedr working on will be discussed and shaped with them to accommodate their interest and expertise.

We are part of the School of Cancer & Pharmaceutical Sciences of King’s College London and are located at The Francis Crick Institute in London (see here).

The candidate will have full access to several High-Performance Computer platforms available at King’s College London, Crick and Cancer Research UK City of London Centre (https://www.colcc.ac.uk) and they will work in a dynamic and stimulating scientific environment with plenty of opportunities to collaborate with clinicians, basic biologists and computer scientists.

Informal inquiries can be addressed at francesca.ciccarelli@crick.ac.uk

Representative group publications:

Bortolomeazzi et al. A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially resolved tissue phenotyping at single-cell resolution Biorxiv https://doi.org/10.1101/2021.04.01.437886

Nulsen et al. Pan-cancer detection of driver genes at the single-patient resolution (2021) Genome Medicine 

Wijewardhane N, et al. Normal somatic mutations in cancer transformation (2021) Cancer Cell 

Mourikis, T, et al. Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma (2019) Nature Comms

Contract type

This post will be offered on a fixed-term contract for 2 years

This is a full-time  post - 100% full time equivalent

Key responsibilities

  • Develop novel computational approaches for cancer data analysis
  • Analyse and integrate large volume of data
  • Work synergistically with computational colleagues in the team
  • Work synergistically with experimental colleagues in the team
  • Collaborate actively with partner labs to exchange data and results
  • Present data and results internally and externally in a timely and organised manner

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

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