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Post-Doctoral Fellow in Statistical Bioinformatics Molecular Genetics

The laboratory of Professor Richard Houlston FRS is currently recruiting a Postdoctoral Training Fellows to work in cancer genomics. We are looking for highly motivated researchers with an interest in human cancer and in the generation of large-scale omics data and gene-editing screens.

We wish to appoint an individual with experience of molecular genetics, relevant to disease gene characterisation. We undertake a broad range of genetic experiments including high-throughput sequencing, epigenetic profiling and Hi-C analyses, MPRA and CRISPR.

The successful candidate will join the team working on the identification and characterisation of cancer genes. We primarily work on colorectal cancer but also have on-going projects on other tumours.

We implement multiple different molecular strategies to translate genetics to tumour biology including high-throughput sequencing, epigenetic profiling and Hi-C analyses, MPRA and CRISPR. There is strong bioinformatics/statistical support within the group.

Applicants should have a good first degree in statistics, computer science, mathematics or similar and a PhD in statistics, computer science, mathematics, bioinformatics or similar. Experience in developing statistical models for data analysis is highly desirable. Excellent organisation and communication skills are essential. The post holder would be expected to bring genetic research experience to development of experimental design and implementation of projects.

This 3-year post is based in Sutton, Surrey.

Please see the job description for more details of this role.

Informal enquiries about on-going projects can be made to Richard Houlston via e-mail: [email protected]
Please Note - this email address is for enquiries only. Applications must be made through the on-line e-recruitment system.

To apply, click on the link below.

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