Postdoctoral Research Assistant in Computational Biology

We are seeking to appoint a highly motivated and skilled computational biologist to join the laboratory led by Dr Monika Gullerova. The post-holder will play a pivotal role in advancing our understanding of ncRNA structural biology and RNA-drug interactions, particularly focusing on short non-coding RNAs. This position provides an opportunity to work in a multidisciplinary environment, leveraging both computational and experimental approaches to validate and refine predictive models of RNA structure and drug binding.

You will be responsible for carrying out own academic research and contribute conceptually to the overall research programme. The post-holder will develop and implement computational pipelines for RNA 3D structure prediction. You will analyse RNA-drug interaction profiles, utilizing both computational predictions and experimental data derived from cancer cell assays to assess predictive accuracy.

The successful candidate should hold, or be close to completion of, a PhD/DPhil in computational biology, statistics or relevant subject area. You should have strong programming skills and be familiar with at least one deep learning framework (TF, Torch). You should have experience working with biological analysis pipelines on multi-node compute clusters as well as with RNA molecular modelling, including feature extraction (sequence-based, structure-based), relationship prediction, and motif discovery. Proficiency in statistical analysis and ability to reproduce and improve existing advanced algorithms are essential.

Applicants who hold a BSc/MSc degree in a relevant subject will be considered for a Research Assistant position that will be offered at Grade 6: £34,982 - £40,855 p.a. with reasonable adjustments in the job responsibilities.

The post is available as a fixed-term contract for 1 year in the first instance. If you are interested in this position, and have the skills and experience we are looking for, please apply below. You will be required to upload a CV and supporting statement as part of your online application.

The closing date for applications is midday on 13 December 2024. Interviews will be held as soon as possible thereafter.

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