We are seeking an enthusiastic, ambitious and creative computational postdoc to join the Secrier lab (https://secrierlab.github.io/) 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.
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, computer science 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 machine learning and 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 found here: http://tinyurl.com/y8gnnot6