Apply computing, data analytical and data mining techniques to a range of problems in the life sciences
A bioinformatics scientist—or bioinformatician—uses computing, data analytical and data mining techniques that are applied to a range of problems in the life sciences, such as the process of drug discovery and development. Roles require scientists who understand the life sciences, and who can use computers for diverse and large volumes of data derived from different life science activities. Broadly, you’ll research, develop and apply computing tools and approaches for expanding the use of life science data, as well as acquiring, storing, organising, archiving, analysing and visualising this data. This is so you can aid the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to study. As a bioinformatician, you’ll work as part of a collaborative group or team of scientists, drawing together life scientists, statisticians and computational infrastructure specialists. As a result, you must be able to work across these disciplinary boundaries. On completion of the bioinformatics scientist apprenticeship, you’ll achieve a master’s degree in bioinformatics aligned to a science or technology discipline relevant to your job role.
Duration: 30 months
Relevant school subjects: Science, ICT and maths
Entry requirements for the bioinformatics scientist apprenticeship: Background in a life sciences subject or informatics/computer science
Achievement upon completion: Level 7 (Degree)—equivalent to a master’s degree
Potential salary upon completion: £34,000 per annum
Find out more: www.apprenticeshipguide.co.uk
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