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Full Time / Fixed Term for 18 months The closing date for applications is 23.59 on 8th march 2026 Interview dates : week commencing 13th April By reference to the applicable SOC code for this role
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this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record Experience of conducting research with
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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related discipline. A passion for experimental work and capability to develop/apply mathematical modelling techniques will be particularly important for this project. Where to apply Website https
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work on the project “Assessing the role of rare germline non-coding genetic variation in breast cancer susceptibility using whole genome sequencing data”. This project will investigate the contribution
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analysis, as directed, assist with coding, compile a bibliography, and support production of a report. Candidates should hold an SCQF Level 10 qualification (Honours degree) in a social science discipline
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data collation and analysis, as directed, assist with coding, compile a bibliography, and support production of a report. Main Duties and Responsibilities Perform the following activities in conjunction
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flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay
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welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also
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. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https