Bioinformatician - Metabolic T Cell Ageing Investigator
4 weeks ago
About the Role
We are seeking a highly skilled Bioinformatician to join our team investigating the effects of metabolic dysregulation on T cell ageing. The successful candidate will perform advanced bioinformatic analysis of multi-omic data to create a human metabolic network model.
About You
The ideal candidate will have a strong background in bioinformatics, machine learning, and complex data analysis. They will be responsible for designing and implementing computational models to investigate T cell ageing and will work closely with the team to interpret results and draw conclusions.
About the School/Department/Institute/Project
The position is within the Centre for Translational Medicine and Therapeutics at Queen Mary University of London, a leading institution in the field of biomedical research.
About Queen Mary
At Queen Mary University of London, we value diversity and inclusion and are committed to creating a welcoming and inclusive environment for all staff and students. We offer a range of benefits, including competitive salaries, access to a generous pension scheme, and a comprehensive range of personal and professional development opportunities.
Benefits
We offer a range of benefits, including competitive salaries, access to a generous pension scheme, and a comprehensive range of personal and professional development opportunities. We are committed to supporting the well-being of our staff and offer a range of benefits to promote work-life balance, including flexible working arrangements and access to on-site nursery facilities.
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Islington, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Bioinformatician to join our team investigating the effects of metabolic dysregulation on T cell ageing. The successful candidate will perform advanced bioinformatic analysis of multi-omic data to create a human metabolic network model.About YouThe ideal candidate will have a strong background in bioinformatics,...
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