Department of Biochemistry, Central Cambridge
 

We are seeking a highly motivated and talented research assistant to join us at the Department of Biochemistry, University of Cambridge, to study gene regulation using deep learning. This is an exciting opportunity to use AI-based methods to uncover the molecular mechanisms behind mRNA processing and fate.

You will be part of a computational team, led by Dr Susanne Bornelöv, which studies the role of codon usage bias in gene regulation using various approaches including machine learning and AI, evolutionary genomics, and sequencing data analysis.

Your project will focus on using deep learning and other statistical and machine learning approaches to reveal how codon usage bias and other mRNA features contribute to gene regulation. The ultimate aim is to gain a precise understanding of how these different properties interact to influence mRNA localisation, stability and translation, as well as protein function. To achieve this, you will use cutting-edge computational approaches, including building in silico models that enable you to systematically probe the effect of differences in codon usage and nucleotide sequence on mRNA fate.