Research Fellow in Cancer Bioinformatics

University College London
UCL Genetics Institute; Department of Genetics, Evolution and Environment
United KingdomLondon
secrierlab.github.io/

Description

Applications are invited for a Research Fellow in Cancer Bioinformatics to join the Secrier lab (secrierlab.github.io/) in the Department of Genetics, Evolution and Environment. The successful candidate will benefit from a supportive, dynamic environment that encourages and builds independent thinking, excellent mentorship opportunitites and extensive networking within the genomics and cancer communities, including the UCL Cancer Domain Early Careers Network, among others. Support for fellowship applications as well as opportunities for supervising students will also be available for interested candidates. The post is funded for 2 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 2 years.

About the role: 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 driving cellular plasticity and tumour progression in a variety of cancers. The post holder will be expected to apply various statistical modelling, machine learning and data integration approaches on bulk, single cell and spatial genomics and transcriptomics datasets to uncover the mutational and immunological triggers of cell state switches in cancer. The role will involve the development of new statistical and bioinformatics approaches to model and link mutational signatures, clonal evolution and tumour microenvironment interactions, and thus a strong quantitative background is highly desirable. 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.

More details on the project and how to apply can be found here: www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=1125&jobTitle=Research%20Fellow


Qualifications

Applicants must have a PhD in a relevant subject area, e.g. computational biology, bioinformatics, statistics, mathematics, physics, computer science, 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 is desired. Knowledge of cancer is welcome but not mandatory. The applicants must demonstrate that they have strong quantitative skills and a keen interest in mutational processes, tumour evolution and/or modelling the tumour microenvironment.


Start date

As soon as possible

How to Apply

Application deadline: 30-Nov-2022

More details on the project and how to apply can be found here: www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=1125&jobTitle=Research%20Fellow


Contact

Maria Secrier
m.secrier@ucl.ac.uk