732 parallel-processing-bioinformatics positions at University of Oxford in United Kingdom
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/week working from home Application Process: For an informal discussion about the role, please contact Dr Samantha Knight, Head of Clinical Academic Development – samantha.knight@medsci.ox.ac.uk You will
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to support collaboration and best practice sharing. You will deputise for the Finance Manager, oversee core financial services such as reporting, journal processing, purchase-to-pay, accounts receivable
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• Membership to a variety of social and sports clubs • Discounted bus travel and Season Ticket travel loans Application process You will be required to upload a covering letter/supporting statement, CV
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variety of social and sports clubs Application process: Information about the application process, as well as the full list of responsibilities and selection criteria can be obtained from the job
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recruitment processes are inclusive and accessible. If you require the job description or any other materials in an alternative format, or if you would like to request any adjustments to support you through
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of the team and half of the year working with the advice side of the team to support them with student queries. The compliance workload includes processing over 4,000 CAS (Confirmation of Acceptance for Studies
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and advise. • Capacity to quickly understand new information, statutes and processes, and with a proven ability to communicate complex concepts in an accessible and trauma-informed way
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equipment and is aware and knowledgeable of the Health and Safety requirements involved in scientific research. Educated to A Level standard or equivalent, you should be computer literate, organised, able
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for the University’s approach to Data Protection/GDPR and work across the university to support the processing of all personal data. This ranges from getting involved in individual subject access requests through
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, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large volumes of sensitive trial data in