316 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Oxford
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sectors. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the university and how to apply. The post is
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of formats, and demonstrable experience of assimilating complex or technical information and making it accessible to diverse audiences. You will bring strong problem-solving skills, the ability
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appropriate. You will also have oversight of data entry on the trials databases and perform regular systematic checks of information held on the databases as required. Resolve contradictory or incorrect data
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with confidential information. This role requires flexibility across the working week, with some limited out-of-hours availability by agreement. This position is primarily College-based, and remote
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information about the university and how to apply. The post is full time (part time at minimum 0.4 FTE may be considered), for a fixed term of until 30th September 2030 in the first instance. Only applications
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requirements applicable to the collection and use of human tissue in clinical research, data protection (GDPR), and ethical standards, and proficiency in LIMS and Quality Management Software. You will
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clubs • Opportunities for hybrid working (typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role
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organisation You will have excellent attention to detail in recording and communicating information and hold excellent skills in Office IT systems, including Microsoft Outlook (both email and calendar management
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the job description. Click here for information and advice on writing an effective Supporting Statement. Diversity Committed to equality and valuing diversity. To discuss the post in more detail, please
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, Rheumatology and Musculoskeletal Sciences at the University of Oxford. The post-holder will co-lead development of a CoRE computational pipeline that integrates multi-omic data at the cellular level across