215 parallel-processing-bioinformatics positions at University of Birmingham in United Kingdom
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. Under the direction of the Senior Administrator, work to a set of standards, processes and procedures, which will be of benefit to the team and its customers. Seek guidance and direction from the Senior
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will act as a point of contact to provide accurate and timely information and advice to internal and external customers and stakeholders on University processes and procedures, answering queries promptly
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Assistant Managers have a key role within the team, managing frontline staff and taking responsibility for the efficient operation of services and libraries. You will have a key role in supporting
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service focused outlook is required. The end-to-end process consists of two main areas: recruitment and onboarding, with the work being split into separate sections of the team. While the post holder will
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for the smooth running of the School. You will also support and lead on cross-School strategies, processes and initiatives ensuring that the School’s ambitions are supported by appropriate systems, processes and
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on manufacturers’ instructions. You will support the project lead in developing a new database to monitor the process of collecting prospective/new specimens for this project, such as recording the timeline from
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Immunotherapy. The Research Associate will be responsible for the processing of human samples (e.g. blood, tonsils) and for the analysis of these primary cells. The project will use novel combinations of peptide
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service. This includes maintaining documentation of processes, planning efficient workload allocations and ensuring essential work is covered in the event of absences. Manage staff performance and address
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, Innovation and automation solutions that enhance efficiency, streamline processes, and improve the staff and student experience. This is a unique opportunity to contribute to a high-impact programme aligned
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous