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We are seeking an enthusiastic, ambitious and creative computational postdoc to join the Secrier lab (https://secrierlab.github.io/misc/join/) at the UCL Genetics Institute on a Wellcome Trust-funded position, to lead an exciting project investigating aspects of genomic instability and gene dosage during cancer progression.
Duties and responsibilities of the post holder include but are not limited to: undertake research under supervision as a member of the Secrier lab, design, develop and refine computational/statistical methods to analyse and integrate multi-omics data in the context of cancer, develop a good understanding of cancer biology and particularly of cancer genomics/transcriptomics and oesophageal cancer. Individuals with a theoretical background (computer science, maths/stats, bioinformatics) are particularly encouraged to apply.
The post is funded until 29/02/2020 in the first instance.
The successful candidate must have a PhD (or be studying towards it) in bioinformatics, computational biology, statistics, mathematics or similar area, be fluent in R, Python, Perl, C++ or other programming language, have a good knowledge of statistics and a strong interest in cancer biology.
Broad knowledge of bioinformatics methodologies, previous experience with NGS data and experience with cancer genomics and/or transcriptomics data are among desirable criteria.
A full job description and information on how to apply can be accessed here: http:/tinyurl.com/y8gnnot6
cription and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button below.
Informal enquiries should be addressed to Dr Maria Secrier (email: [email protected]).
Duties and responsibilities of the post holder include but are not limited to: undertake research under supervision as a member of the Secrier lab, design, develop and refine computational/statistical methods to analyse and integrate multi-omics data in the context of cancer, develop a good understanding of cancer biology and particularly of cancer genomics/transcriptomics and oesophageal cancer. Individuals with a theoretical background (computer science, maths/stats, bioinformatics) are particularly encouraged to apply.
The post is funded until 29/02/2020 in the first instance.
The successful candidate must have a PhD (or be studying towards it) in bioinformatics, computational biology, statistics, mathematics or similar area, be fluent in R, Python, Perl, C++ or other programming language, have a good knowledge of statistics and a strong interest in cancer biology.
Broad knowledge of bioinformatics methodologies, previous experience with NGS data and experience with cancer genomics and/or transcriptomics data are among desirable criteria.
A full job description and information on how to apply can be accessed here: http:/tinyurl.com/y8gnnot6
cription and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button below.
Informal enquiries should be addressed to Dr Maria Secrier (email: [email protected]).