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Grade 8: £45,585 - £54,395 with a discretionary range to £59,395 per annum
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Cloud Engineer, Oxford-GSK Institute of Molecular and Cellular Medicine
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further particulars: 163731 - Cloud Engineer - JD
comment: We are seeking to appoint a Cloud Engineer, required to help establish and support the IMCM Data Platform, reporting to Adam Huffman, Research Computing Manager in the Biomedical Research Computing team. You will join the newly established multidisciplinary Oxford-GSK Institute of Molecular & Computational Medicine operating within Nuffield Department of Medicine, in collaboration with Nuffield Department of Clinical Neuroscience, Nuffield Department of Population Health and Department of Physiology, Anatomy and Genetics. The vision for the Data Platform is to be a Trusted Research Environment (TRE) where datasets are safely stored with appropriate access controls, and where IMCM researchers from both Oxford and GSK will carry out their research collaboratively. You will be responsible for ensuring it meets those researchers’ requirements as they evolve, while satisfying the governance obligations arising from the datasets they are using. This will entail close and regular collaboration and consultation with Data Managers, Bioinformaticians, researchers, Public Cloud providers, information security and compliance teams, and colleagues in Oxford and GSK. You will be responsible for leading the design, planning, provisioning, ongoing maintenance and development of the IMCM Data Platform, and creating and updating documentation for the IMCM-specific aspects of the Data Platform. You will work with the data management and data science teams to ensure IMCM researchers’ software requirements on the Platform are met, and you will ensure the security of the Platform, applying updates and configuration checks, arranging penetration tests if needed. You will collaborate with Data Managers, Information Compliance and Information Security teams to ensure datasets are safely and appropriately managed. It is essential that you hold a degree in a relevant subject. You will need experience of cloud platform engineering for production services. GCP experience is essential; experienc…
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163731 - Cloud Engineer - JD
value: Job title Cloud Engineer, Oxford-GSK Institute of Molecular and Computational Medicine Division Medical Sciences Department Nuffield Department of Medicine Wellcome Centre for Human Genetics, Roosevelt Drive, Old Road Campus, Headington, Oxford, OX3 7BN Location And the Big Data Institute, Old Road Campus, Headington, Oxford, OX3 7LF There are opportunities for flexible and hybrid working. Grade 8: £45,585 - £54,395 with a discretionary range to £59,395 per annum Grade and salary Whilst this role is a Grade 8 position, we would be willing to consider less experienced candidates who might be suitable for the role with adjusted duties to then be offered as an under fill at Grade 7: £36,024 – £44,263 with discretionary range to £48,350 per annum This would be discussed with applicants at interview/appointment where appropriate. Hours Full time Contract type Fixed-term contract until 30th September 2028 Reporting to Adam Huffman, Research Computing Manager, and Associate Professor Brian Marsden, Director of Data Management and Research Informatics Vacancy reference 163731 Additional information Funding provided by GSK The role This post provides an exciting opportunity to join the newly established multidisciplinary Oxford-GSK Institute of Molecular & Computational Medicine (IMCM) operating within Nuffield Department of Medicine (NDM) in collaboration with Nuffield Department of Clinical Neuroscience (NDCN), Nuffield Department of Population Health (NDPH) and Department of Physiology, Anatomy and Genetics (DPAG). The Institute is bringing together the very best scientific, clinical, technological and computational expertise from Oxford University and GSK in a unique industry/academic partnership. The aim of the Institute is to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology, spatial imaging, machine learning and novel methods of data handling to study the pattern of diseases in new ways. The Institute is developing disease agn…
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