In this role your duties will include provide statistical analysis plans for studies and handle day-to-day planning to keep the work on track and efficient and the performance of integrative analysis of single-cell RNA and ATAC seq data. To support the research endeavours effectively, you will develop or customize analytical tools and resources in collaboration with other team members and attend to scientific seminars, meetings and training as appropriate
Requirements:
It is essential that you hold a degree in a life science or computational subject, together with demonstrable experience and ability in biostatistics or bioinformatics. You will also have previous experience in a laboratory research setting, and use of techniques including but not limited to PCR, qPCR, gel electrophoresis, western blots, and cell culture. The ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule is also essential in this role
Text:
Research Assistant - Computational Ludwig Institute for Cancer Research, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ We are seeking to appoint a Research Assistant with computational skills and the biological understanding of cancer-causing pathogens to work on computational analysis at the Ludwig Institute for Cancer Research, University of Oxford In this role your duties will include provide statistical analysis plans for studies and handle day-to-day planning to keep the work on track and efficient and the performance of integrative analysis of single-cell RNA and ATAC seq data. To support the research endeavours effectively, you will develop or customize analytical tools and resources in collaboration with other team members and attend to scientific seminars, meetings and training as appropriate. It is essential that you hold a degree in a life science or computational subject, together with demonstrable experience and ability in biostatistics or bioinformatics. You will also have previous experience in a laboratory research setting, and use of techniques including but not limited to PCR, qPCR, gel electrophoresis, western blots, and cell culture. The ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule is also essential in this role. Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This position is offered full time on a fixed term contract for 12 months and is funded by the Ludwig. Only applications received before 12 midday on Friday 3 May 2024 will be considered. Please quote 172112 on all correspondence. Contact Person : Margarita Monroy Vacancy ID : 172112 Contact Phone : 01865287757 Closing Date & Time : 03-May-2024 12:00 Pay Scale : STANDARD GRADE 6 Contact Email : recruitment@ndm.ox.ac.uk Salary (£) : £32,332 - £38,205 with a discretionary range to £41,732 p.a. (pro rata) Click on the link(s) below to view documents Filesize 172112 - Research Assistant - Computational - JD 277.5
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