Salary: £40,215 per annum
Location: Hammersmith Campus
A 3-year computational post-doctoral research position is available in the team of Dr Sam Marguerat at the Institute of Clinical Sciences at Imperial College London to study the spatial heterogeneity of Glioblastoma invasion.
Glioblastoma is the most common form of brain tumour in adults for which there is no cure. The main cause of treatment resistance is a poorly characterised subpopulation of cancer cells that invade diffusely in healthy brain tissues and which cannot be removed surgically. This project aims at understanding the biology of these invading cells to support the development of more effective therapies.
We are looking for a creative and self-driven computational biologist to work on discovering principles of cancer invasion by integrating imaging and spatial transcriptomics data obtained from Glioblastoma pre-clinical models. This project is funded by the Brain Tumour Charity and is driven through a collaboration between the host laboratory (computational biology, Imperial college) and the teams of Prof Simona Parrinello (cancer biology, UCL), Dr Vahid Shahrezaei (mathematical modelling, Imperial college) and Prof Mark Lythgoe (advanced imaging, UCL).
The host laboratory is part of the MRC London Institute of Medical Sciences (LMS) and Imperial College’s institute of Clinical Sciences. The LMS is located on the Hammersmith hospital campus at walking distance from the newly established Imperial West campus from Imperial College. Our team studies how transcriptional heterogeneity arises in cell populations in response to external stimuli and in particular cell growth. It has a strong track record in transcriptomics approaches and is one of the first to have developed single cell RNA-seq for yeast. The team comprises experimentalist and computational biologist and has strong research ties with the department of mathematics at Imperial.
Duties and responsibilities
You will be responsible for driving the analysis and interpretation of Glioblastoma spatial transcriptomics, single-cell RNA-seq and imaging data. You will work in close collaboration with experimental and theoretical researchers at Imperial College and UCL. You will be responsible of compiling your work into high-quality scientific papers. You will help with day to day supervision of students in the laboratory.
You will have good communication and organisational skills and a PhD in a relevant area with a strong computational component (or be in the final stages of completion). You will be proficient with at least one programming language and have track record in analysing transcriptomics data. You will demonstrate a clear interest and understanding of the biology behind the project.
Please note this is a re-advertisement; previous applicants need not apply.
The post is full time and fixed-term for three years.
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £35,477- £38,566 per annum.
Should you require any further details on the role please contact: Dr Sam Marguerat email@example.com
For technical issues when applying online please email firstname.lastname@example.org
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The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.
Closing date: 26/02/2020
To apply, visit www.imperial.ac.uk/jobs and search by the job reference MED01548.