Senior Bioinformatician
Applications for this vacancy closed on 2 July 2024 at 12:00PM
We are seeking to appoint a Senior Bioinformatician to join Prof Simon
Leedham’s research group at the Centre for Human Genetics. You will provide
bioinformatics expertise, support and teaching to a multi-disciplinary team of
biological, computational and mathematical researchers by curating and
processing raw ‘omic and spatial biology data and performing hypothesis led
and hypothesis generating primary analysis to apply bioinformatics solutions
to biomedical problems.
You will be responsible for carrying out data processing and integration,
statistical analysis, presentation and interpretation of bioinformatic data,
specifically, analysing genomic datasets including: whole-genome, exome and
targeted DNA sequencing; RNA-seq; single cell RNA seq, and integrating
datasets with those available through public repositories such as ICGC, TCGA
and ENCODE. You will develop informatics structures to manage large datasets,
including the organisation of data storage and repository solutions that meet
current publishing standards, and you will identify and troubleshoot technical
or scientific problems, working collaboratively with database experts and
scientific programmers.
It is essential that you hold a PhD/DPhil in a Biostatistics, Mathematics,
Statistics, Computing, Mathematical Biology or a related subject, and you will
have demonstrable experience, ability and practical success in biostatistics
or bioinformatics. You will be proficient in the use of statistical
programming languages such as R/BioConductor, and you will have experience of
developing scientific techniques. Knowledge of cancer biology/genetics, and
previous research experience in cancer genomics or related fields would be
highly desirable.
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 until 1 August
2027 and is funded by the Cancer Research UK.
Only applications received before 12 midday on 2 July 2024 will be considered.
Please quote **173353** on all correspondence.
Leedham’s research group at the Centre for Human Genetics. You will provide
bioinformatics expertise, support and teaching to a multi-disciplinary team of
biological, computational and mathematical researchers by curating and
processing raw ‘omic and spatial biology data and performing hypothesis led
and hypothesis generating primary analysis to apply bioinformatics solutions
to biomedical problems.
You will be responsible for carrying out data processing and integration,
statistical analysis, presentation and interpretation of bioinformatic data,
specifically, analysing genomic datasets including: whole-genome, exome and
targeted DNA sequencing; RNA-seq; single cell RNA seq, and integrating
datasets with those available through public repositories such as ICGC, TCGA
and ENCODE. You will develop informatics structures to manage large datasets,
including the organisation of data storage and repository solutions that meet
current publishing standards, and you will identify and troubleshoot technical
or scientific problems, working collaboratively with database experts and
scientific programmers.
It is essential that you hold a PhD/DPhil in a Biostatistics, Mathematics,
Statistics, Computing, Mathematical Biology or a related subject, and you will
have demonstrable experience, ability and practical success in biostatistics
or bioinformatics. You will be proficient in the use of statistical
programming languages such as R/BioConductor, and you will have experience of
developing scientific techniques. Knowledge of cancer biology/genetics, and
previous research experience in cancer genomics or related fields would be
highly desirable.
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 until 1 August
2027 and is funded by the Cancer Research UK.
Only applications received before 12 midday on 2 July 2024 will be considered.
Please quote **173353** on all correspondence.
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Centre for Human Genetics, Building for Genomic Medicine, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN
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2024-07-02 12:00:00+01:00
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vacancy:applicationOpeningDate |
2024-06-04 09:00:00+01:00
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False
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comment |
We are seeking to appoint a Senior Bioinformatician to join Prof Simon Leedham’s research group at the Centre for Human Genetics. You will provide bioinformatics expertise, support and teaching to a multi-disciplinary team of biological, computational and mathematical researchers by curating and processing raw ‘omic and spatial biology data and performing hypothesis led and hypothesis generating primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation of bioinformatic data, specifically, analysing genomic datasets including: whole-genome, exome and targeted DNA sequencing; RNA-seq; single cell RNA ... We are seeking to appoint a Senior Bioinformatician to join Prof Simon
Leedham’s research group at the Centre for Human Genetics. You will provide bioinformatics expertise, support and teaching to a multi-disciplinary team of biological, computational and mathematical researchers by curating and processing raw ‘omic and spatial biology data and performing hypothesis led and hypothesis generating primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation of bioinformatic data, specifically, analysing genomic datasets including: whole-genome, exome and targeted DNA sequencing; RNA-seq; single cell RNA seq, ... |
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Senior Bioinformatician
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173353
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