Computational Research Associate/Research Fellow

Location
London (Central), London (Greater) (GB)
Salary
Grade 6 £38,826-£45,649 per annum (Postdoctoral Research Associate) or Grade 7 £46,934-£50,919 per a
Posted
06 Jun 2022
End of advertisement period
28 Jun 2022
Ref
047225
Academic Discipline
Life sciences
Job Type
Research Related
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 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 be 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 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 Nature Comms  Nature Comms

 

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

 

Wijewardhane N, et al. Normal somatic mutations in cancer transformation (2021) Cancer Cell 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 10:3101   Nature Comms

 

This post will be offered on a fixed-term contract for 18 months 

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

 

Research Fellow (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

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