|Salary:||£36,028 to £37,008 per annum, inclusive of London Allowance (Grade 7)|
|Placed On:||22nd October 2020|
|Closes:||7th December 2020|
We are seeking a talented and highly motivated computational biology postdoc to join the research group of Prof Adrian Thrasher and Dr Giandomenico Turchiano at the Great Ormond Street Institute of Child Health at UCL, within the Section of Molecular and Cellular Immunology (https://www.ucl.ac.uk/child-health/research/infection-immunity-inflammation/molecular-and-cellular-immunology).
Gene therapies are showing an increasing success in clinical trials and they are continuously evolving towards new tools for genetic manipulation. Despite the great advantages, a better characterization of the genotoxicity effects is crucial for delivering safe and efficient therapies. We aim to apply existing and develop new techniques and analysis tools in order to characterize all the possible mutations and effects on primary cells and patient samples treated with lentiviral gene therapy and/or gene editing tools.
The successful candidate will contribute to the design and development of such techniques, leading the analyses and interpretation of the genotoxicity data. The post holder will work in an international and highly collaborative environment, benefiting from the expertise of both academia and industry in the field of gene editing, stem cell manipulation, genetics and computational biology.
Duration of the post is for 24 months in the first instance.
Applicants must have PhD degree in a relevant subject. We are seeking a curious and talented researcher with a prime interest in gene editing and genomics.
Candidates should have strong programming skills with a PhD in bioinformatics, computational biology, statistics or related genomic disciplines and should have prior experience with next-generation sequencing data, translational bioinformatics, data-mining of large scale genomic datasets and databases. Previous experience with RNA-seq, LM/LAM-PCR data analysis is a plus.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above. If you have any queries regarding the application process, please contact Madhur Sharma on email@example.com quoting job reference 1872803.
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