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of Researchers (Charter and Code). Please, check out our Recruitment Policy About the role We are looking to hire a PhD student to join our team working on scaling deep mutational scanning to understand, predict
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architecture provides insights into the genetics of type 2 diabetes (Nat Genet 2019). Whom would we like to hire? Professional experience Must Have You hold a PhD (or equivalent experience) in statistical
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authorship role Education and training A PhD in a relevant field Languages You are proficient in English Technical skills You have advanced MS Office skills Competences Highly developed organizational and
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processing of novel and existing single-cell transcriptomic datasets from diverse species across the tree of life, combining comparative genomics, functional gene annotation, and cross-species comparisons
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Education and training A master's degree or PhD in Bioinformatics, Computer Science, or related disciplines Languages You are fluent in English Technical skills Hands-on single-cell data processing and
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of protocols with this technology Expertise in next generation sequence analysis You have a publication track record in these areas with a leading authorship role Education and training A PhD in a relevant field
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process, collaborating with cross-functional teams as the EGA is compounded by several teams, with different backgrounds and experience. Your contributions will directly impact our users, helping to create
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from flexible working hours. Application Procedure All applications must include: A motivation letter addressed to Ms. Gloria Lligadas. A complete CV including contact details. All applications must be