Location: | London |
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Salary: | £56,652 to £58,114 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 30th September 2024 |
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Closes: | 27th October 2024 |
Job Ref: | NAT01823 |
Location: South Kensington Campus
About the role:
We are seeking a highly-motivated and skilled Bioinformatician with experience in software development to join our dynamic team. This position is funded as part of the MRC Human Functional Genomics cluster which includes Imperial College, Queen Mary University of London (QMUL), and EMBL-European Bioinformatics Institute (EBI).
Our collaborative human functional genomics cluster aims to advance the understanding of the genetic basis of rare diseases. The project focuses on genetic variants, particularly those impacting post-translational modification (PTM) sites on proteins, to bridge the knowledge gap between genomic associations and disease mechanisms. Our vision is to mechanistically define the functional impact of PTM variants within the rare disease cohort of Genomics England's genome resource, leading to personalized interventions and optimized clinical outcomes.
You will undertake research, perform model conceptualisation, programming, analysis, and validation work to develop a novel genetic variant prediction algorithm and disseminate its use to the community via web-site development. This new algorithm will further expand our Missense3D Portal (http://www.sbg.bio.ic.ac.uk/~missense3d) that predicts the damaging effect of genetic variants by providing a 3D protein structure-based analysis.
Missense3D is a popular resource for the genetic community with over 8,000 users in 2023 and >400 citations since its launch in 2019.
What you would be doing:
You will develop, benchmark and support the novel variant prediction resource working on both the algorithmic back end and the dynamic web site front end. In addition, you will help in disseminating and supporting the use of this resource by contributing to the writing, editing, and submission of scientific publications in high-impact journals and by presenting findings at scientific conferences and meetings. You must also be able to relate well with others and to work as part of a team, as well as independently.
What we are looking for:
What we can offer you:
Further Information
Candidates will need to complete an online application and include their CV, cover letter describing their research experience and interests.
Should you require any further details on this role please contact:
Dr Alessia David, alessia.david09@imperial.ac.uk
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