Research Associate – Bornelöv Group (Fixed Term) Part-time

Research Associate in Deep Learning and AI for Genomics – Bornelöv Group (Fixed Term)

We are seeking a Research Associate with strong quantitative and computational skills to join us in the Bornelöv Lab, Department of Biochemistry, University of Cambridge, to study gene-regulatory processes using deep learning. This is a timely opportunity to use recently developed 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 complementary approaches including machine learning and AI, evolutionary genomics, and bioinformatics.

Your project will use deep learning to quantitatively model 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 have access to substantial GPU compute and high-performance computing resources, and will apply modern sequence-based deep learning models that enable you to systematically probe the effect of differences in codon usage and nucleotide sequence on mRNA fate. The successful candidate will have the freedom to help shape the direction of the project and develop their own research questions within this area.

To be successful in this role, you will need experience in deep learning and other machine learning and/or bioinformatics techniques, an ability to drive a project independently, and be proficient in programming/scripting. Applicants should have a PhD (or be about to receive one) in a relevant quantitative discipline. We are particularly interested in candidates who combine strong quantitative skills with a genuine interest in fundamental molecular biology principles and prior work involving any aspect of gene regulation, including mRNA transcription, translation or turnover would be highly beneficial. Although funding is available for this position, the successful candidate will also be encouraged and supported to apply for postdoctoral fellowships.

Fixed-term: The funding for this position is available from 1st June 2026 until 31st May 2029, in the first instance.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Key information

Department of Biochemistry

£37,694-£46,049

Reference PH49454

Category Research

Date published 20 April 2026

Closing date 18 May 2026