www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Postdoctoral Research Assistant in Machine Learning, Bioinformatics and Genome Editing
Institution: University of Oxford
Location: Oxford, Oxfordshire, United Kingdom
Duties: 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
Requirements: 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
   
Text: Postdoctoral Research Assistant in Machine Learning, Bioinformatics and Genome Editing MRC Weatherall Institute of Molecular Medicine, MRC Molecular Haematology Unit, John Radcliffe Hospital, Headington, Oxford 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 . Contact Person : HR Administrator Vacancy ID : 173222 Contact Phone : 01865222321 Closing Date & Time : 02-Jul-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : recruitment@imm.ox.ac.uk Salary (£) : £36,024 - £44,263 per annum Click on the link(s) below to view documents Filesize 173222 JobDescription&SelectionCriteriaPostdoctoralResearchAssistantinMachineLearning,BioformaticsandGenomeEditingFINAL.pdf 344.1
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 1 seconds.