Research Prime

Computational Research Assistant
Organisation Name: King’s College London
Organisation Type:
City:
State:
Country: United Kingdom

Job Description:

Computational Research Assistant
Department : Comprehensive Cancer Centre

Job description

We seek a motivated, proactive and enthusiastic computational Research Assistant to help complete an exciting project on the detection and treatment of oesophageal cancer in collaboration with senior computational biologists in the lab.
 
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 project the candidate will be working on is an advanced stage and the candidate will have the opportunity to learn a vast range of computational skills that will be useful for their future career (ie to apply for a PhD position or to look for bioinformatics post in academia and industry).
 
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.
 
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 to: [francesca.ciccarelli@crick.ac.uk ](mailto: francesca.ciccarelli@crick.ac.uk)
 
Representative group publications:
Nulsen et al. Pan-cancer detection of driver genes at the single-patient resolution (2021) Genome Medicine  https://doi:10.1186/s13073-021-00830-0
 
Wijewardhane N, et al. Normal somatic mutations in cancer transformation (2021) Cancer Cell  https://doi: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:10.1038/s41467-019-10898-3
 
This post will be offered on a fixed-term contract for 1 year
This is a full-time  post - 100% full time equivalent

Key responsibilities

•Â Â Â Â Â Â  Analyse and integrate large volume of data
•Â Â Â Â Â Â  Work synergistically with computational colleagues in the team
•Â Â Â Â Â Â  Work synergistically with experimental colleagues in the team
•Â Â Â Â Â Â  Collaborate actively with partner labs to exchange data and results
•Â Â Â Â Â Â  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

Essential criteria  
1.      Msc (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  
5.      Good verbal and written communication skills 
 
Desirable criteria 
1.      Experience in planning and interpreting experiments for hypothesis validation 
2.      Previous experience with NGS and imaging data analysis 
 

Further information

For further inquiries, please contact  francesca.ciccarelli@crick.ac.uk
 
Grade and Salary : £36,348 per annum, including London Weighting Allowance Job ID : 059233
Post Date : 08-Dec-2022 Close Date : 18-Dec-2022
Contact Person : Professor Francesca Ciccarelli Contact Details : francesca.ciccarelli@kcl.ac.uk
Apply for Job Return to Search

Posting Date: Dec 14, 2022
Closing Date:
Organisation Website/Careers Page: https://jobs.kcl.ac.uk/gb/en/job/059233/Computational-Research-Assistant


Subscribe for receiving latest updates in Computational Sciences