Research Assistant - Computational
Applications for this vacancy closed on 12 August 2024 at 12:00PM
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 Monday 12 August 2024 will be
considered. Please quote **172112** on all correspondence.
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 Monday 12 August 2024 will be
considered. Please quote **172112** on all correspondence.
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Ludwig Institute for Cancer Research, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ
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vacancy:applicationClosingDate |
2024-08-12 12:00:00+01:00
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vacancy:applicationOpeningDate |
2024-04-05 09:00:00+01:00
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vacancy:internalApplicationsOnly |
False
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comment |
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 ... 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 ... |
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Research Assistant - Computational
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notation |
172112
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