Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges.
We are recruiting a Computational Biologist role for a fixed term until 30th June 2027.
About us
The Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.
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We are looking for a highly motivated Computational Biologist / Bioinformatician to join the Chemical Biology Resources team at the European Bioinformatics Institute (EMBL-EBI), located on the Wellcome Genome Campus near Cambridge, as part of the Wellcome Trust funded LIGMAP project, a multi-disciplinary collaboration between University College London and EMBL-EBI.
The Opportunity:
Applications are invited for a Computational Biologist (KTP Associate) to join the group of Prof Anthony Hall at the Earlham Institute (EI), in partnership with Chris O’Grady at Syngenta. This role will be based primarily at Syngenta’s Jealott’s Hill International Research Centre (Bracknell, Berkshire), with regular interaction and visits to the Earlham Institute (Norwich).
Background:
Revvity | About Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity.
Senior Scientist - Lentiviral Vectors
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Our Company
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.