Past vacancies at the University of Oxford
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Computational Biologist (bioinformatician)
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further particulars: COMPUTATIONAL BIOLOGIST 174372.pdf
formal organization: University of Oxford
comment: We are looking to appoint a computational biologist to lead the bioinformatics component of a highly collaborative and exciting project with the aim of enabling the development of genomically-informed novel therapeutic targets for neuropsychiatric disorders. You will be based in the Department of Psychiatry, Warneford Hospital, Oxford (supervised by Professor Paul Harrison), and will liaise closely with the Earlham Institute in Norwich (supervised by Dr Wilfried Haerty). You will also work with staff in other University of Oxford departments and institutes: the Centre for Medicines Discovery; Centre for Human Genetics; Big Data Institute; the Department of Chemistry; and the Department of Physiology, Anatomy and Genetics, as well as with external collaborators (e.g., the Lieber Institute for Brain Development, Baltimore). The post is full-time; however, consideration would be given to candidates wishing to work part time (minimum 50% FTE), on a pro rata basis, with a commensurate reduction in duties. The post is for a fixed term (funded to 30 November 2027). Whilst the role is a Grade 8 position, we would also consider candidates with potential but less experience who ae seeking a development opportunity, for which an initial appointment would be at Grade 7 (£36,204-£44,263) with the responsibilities adjusted accordingly. Responsibilities/selection criteria marked * are required for a Grade 8 role. Additionally, the University has introduced a pensionable Oxford University Weighting of £1,500 a year (pro rata) for all staff on grades 1–10 of the main salary and grading structure which will be implemented in the September 2024 payroll. You will take the lead in designing and conducting, and integrating data analyses, as well as developing and maintaining collaborations between the various partners. You will contribute to research projects by acting as a ‘go to’ person to clarify issues, opportunities and help troubleshoot problems and supervise undergraduate and Mast…
salary: Standard Grade 8: £45,585 - £54,395
organization part: Department of Psychiatry
notation: 174372
application opening date: 2024-08-06T09:00:00+01:00
type: Vacancy
application closing date: 2024-09-09T12:00:00+01:00

University of Oxford
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Standard Grade 8: £45,585 - £54,395
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COMPUTATIONAL BIOLOGIST 174372.pdf
value: _________________________________________________________________________ Summary Job title Computational Biologist (bioinformatician) Division Medical Sciences Department Psychiatry Location Warneford Hospital Grade 8: £45,585-£54,395 (discretionary range to £59,421) per annum Grade and salary The University has introduced a pensionable Oxford University Weighting of £1,500 a year (pro rata) for all staff on grades 1–10 of the main salary and grading structure which will be implemented in the September 2024 payroll. Hours Full time - consideration would be given to candidates wishing to work part time (minimum 50% FTE), on a pro rata basis, with a commensurate reduction in duties. Contract type Fixed-term (funded to 30 November 2027) Reporting to Professor Paul Harrison Vacancy reference 174372 Additional information Whilst the role is a Grade 8 position, we would also consider candidates with potential but less experience who ae seeking a development opportunity, for which an initial appointment would be at Grade 7 (£36,204-£44,263) with the responsibilities adjusted accordingly. Responsibilities/selection criteria marked * are required for a Grade 8 role. The role The postholder will lead the bioinformatics component of a highly collaborative and exciting project between the University of Oxford and the Earlham Institute (Norwich). The post is funded by the Molecular Targets theme of the NIHR Oxford Health Biomedical Research Centre (BRC). Many risk genes for psychiatric disorders have been identified, but how, where, and when they confer risk is not known. Recent findings from several groups, including our own, suggest that altered gene expression and splicing is key, but also show that existing data and annotations in human brain are seriously inadequate. We are combining wet-lab with computational approaches to improve this understanding and have already made notable discoveries regarding several genes. The overarching aim of the work is to enable the developm…
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