Postdoctoral Research Assistant in Machine Learning, Bioinformatics and Genome Editing

We are seeking a highly motivated and enthusiastic Postdoctoral Research
Assistant to join Associate Professor James Davies’ Laboratory. The post will
involve working on a project to develop deep neural network based methods for
designing genome editing strategies to treat rare diseases.





The postholder will join a large multidisciplinary team covering molecular
methodologies, genomics, single cell genomics/transcriptomics, computational
biology and machine learning. The overarching aim of the project is to develop
strategies to treat patients with rare genetic disorders at scale. Duties will
include assisting with the development of software and algorithms for the
prediction of genome editing strategies at scale and to develop deep neural
network models to assist in identification of the most effective editing
strategies and to select disease variants.





Applicants should hold a relevant PhD (or be close to completion - thesis
submitted at time of application) in Computational Biology, Bioinformatics,
Computer Science, or related discipline. The successful candidate will possess
a strong background in Biology, Statistics/Mathematics and/or Computer
Science. Extensive experience in software and algorithm development is
essential. Proficiency in Python for data analysis, NGS bioinformatics, and
applied machine learning techniques is essential.





This position is available fixed-term for 12 months, funded by the NIHR
Biomedical Research Centre (BRC).





Applications for this vacancy are to be made online.





You will be required to upload a CV and supporting statement as part of your
online application.





The closing date for this position is **12.00 noon on Tuesday 2 July 2024**.