27 data-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" positions at The University of Southampton
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for a Data Scientist to provide expertise to help drive the development of the University’s portfolio of programmes, including leading on market viability assessments and data analysis to support this
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through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is
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the development and operation of its Secure Data Environment (SDE). This role sits within a growing multidisciplinary team and will involve working closely with a small group of engineers and
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Responsibilities: Develop chemical and biochemical assays and analyses, conduct comprehensive laboratory experiments, data analysis and reporting. Design, develop, and test microfluidic devices for miniaturised
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Research Collaboration (UKCRC) registered unit and was set up in 2006 to design and conduct academically led clinical trials. The Unit employs trial managers, data managers, statisticians, regulatory staff
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concerning data capture, structure and presentation, and a range of services that allow content to be accessed in a variety of ways. We support our many customers by maintaining our own Linux based virtual
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opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information
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methods. It may also include quantitative data analysis. The post-holder will take a role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and
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clicking on 'Apply Now '. For further information prior to submitting your application, please contact Paul Davie (Chief Operating Officer) on p.davie@soton.ac.uk , or the People Team on suhr@soton.ac.uk
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engineered cytotoxic invariant Natural Killer T (iNKT) cells for precision targeting of paediatric cancer neoantigens. Building on strong preliminary data, it combines mechanistic and translational immunology