KINGS COLLEGE LONDON

Computational Postdoctoral Research Associate/Research Fellow

Location
London (Greater) (GB)
Salary
£38,304 - £54,534 per annum including London Weighting Allowance
Posted
Wednesday, 2 June 2021
End of advertisement period
Thursday, 1 July 2021
Ref
024325
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Fixed Term
Hours
Full Time

Job Description


We seek a motivated, proactive and enthusiastic computational Research Associate or Research Fellow (depending on seniority) to develop advanced computational methods for the integration of cancer data. 
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 enrolled in clinical trials testing experimental therapies, including various combinations of immunotherapies.


As a consequence, a variety of data types are available in the lab, which poses the candidate in the unique condition of contributing to shape the research projects they will be working on.
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 and they will work in a dynamic and stimulating scientific environment.
Informal inquiries can be addressed at francesca.ciccarelli@crick.ac.uk


Representative group publications:
Bortolomeazzi et al. Immunogenomic profile of colorectal cancer response to anti-PD1 immunotherapy Biorxiv https://doi.org/10.1101/2020.12.15.422831  
Nulsen et al. Pan-cancer detection of driver genes at the single-patient resolution (2021) Genome Medicine https://doi.org/10.1186/s13073-021-00830-0
Wijewardhane N, et al. Normal somatic mutations in cancer transformation (2021) Cancer Cell https://doi.org/10.1016/j.ccell.2020.11.002       
Mourikis, T , et al. Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma (2019) Nature Comms 10:3101  https://doi.org/10.1038/s41467-019-10898-3 


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.
 
 

Skills, knowledge, and experience
 
Postdoctoral Research Associate (Grade 6)
Essential criteria

 

  1. PhD (or equivalent) in bioinformatics; computer science; or related field 
  2. Proficiency in computer programming 
  3. Background knowledge in statistics 
  4. Experience of presenting data and results internally and externally in a timely and organised manner 
  5. Good verbal and written communication skills 
  6. Excellent organisational skills and attention to detail 

 
Research Fellow (Grade 7)
Essential criteria 

 

  1. PhD (or equivalent) in bioinformatics; computer science; or related field 
  2. Proficiency in computer programming 
  3. Background knowledge in statistics 
  4. Proven track record of clear research potential (publications and poster/oral presentation to scientific conferences) 
  5. Experience of managing a research project 
  6. Experience of presenting data and results internally and externally in a timely and organised manner 
  7. Experience of developing novel computational approaches 
  8. Good verbal and written communication skills 
  9. Excellent organisational skills and attention to detail 
  10. Excellent ability to work in a multidisciplinary team 

 
Desirable criteria 
 

  1. Experience in planning and interpreting experiments for hypothesis validation 
  2. Experience of having managed large bioinformatics projects/datasets 
  3. Experience of supervising or mentoring junior members 
  4. Previous experience with NGS and imaging data analysis 

*Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

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