Applications are invited for a Research Fellow in Computational Cancer Biology to join the Secrier lab (secrierlab.github.io/) on a UKRI Future Leaders Fellowship-funded post in the Department of Genetics, Evolution and Environment. We are seeking an enthusiastic, creative and motivated individual with a keen interest in cancer genomics, clonal evolution and the tumour microenvironment, to explore the mutational processes leading to quiescence and similar cellular states in a variety of cancers. The post holder will be expected to apply various statistical modelling, machine learning and data integration approaches on bulk and single cell genomics and transcriptomics datasets to uncover the mutational and immunological triggers of tumour dormancy. The role will involve the development of new approaches to model and link mutational signatures, clonal evolution and tumour microenvironment interactions in the context of temporary cell states in cancer. Rich multi-omics datasets are available in oesophageal adenocarcinoma, sarcoma and brain cancers from collaborators at the Universities of Cambridge, Southampton, Cologne and the UCL Cancer Institute for this purpose. This position is fully computational, but we will collaborate with our wet lab partners for the purpose of validation of the findings.
The post is funded for 3 years in the first instance. There is the possibility for a further extension of another 3 years as part of the extension of the grant, conditional on satisfactory outputs from the first 3 years.
Further particulars, including a job description and person specification, and to apply click here: tinyurl.com/34wakk26
Please make sure you include a CV and cover letter outlining your motivation to join the Secrier research group in the application.
Interviews are expected to be held in August 2021. The starting date for the post is flexible, but preferably as soon as possible.
For informal enquiries about the post please contact Dr Maria Secrier at m.secrier@ucl.ac.uk
Applicants must have a PhD in a relevant subject area, e.g. computational biology, bioinformatics, statistics, computer science, mathematics, physics, genetics, biology, biotechnology or similar subject; and extensive programming experience, preferably (but not exclusively) in at least one of the following languages: R, Python, C/C++. Previous experience with NGS data and/or cancer is welcome but not mandatory. The applicants must demonstrate that they have a keen interest in mutational processes, tumour evolution and/or modelling the tumour microenvironment.
Please note: Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (Salary £31,542 - £33,257 per annum, including London Allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis (including corrections).
Apply here with CV and cover letter: tinyurl.com/34wakk26