Data Wrangler/Data Scientist

The Big Data Institute at the Nuffield Department of Medicine is looking to appoint a Data Wrangler/Data Scientist to manage and curate the unique, highly multi-dimensional data available from the Oxford–Novartis Collaboration for AI in Medicine.

The Oxford-Novartis Collaboration for AI in Medicine is a unique large-scale partnership between the Big Data Institute (BDI) and the international pharmaceutical company Novartis. Now in its 7th year, it is a research alliance that aims to improve drug development by making it more efficient and more targeted. Using artificial intelligence and advanced analytics and decades’ worth of Novartis clinical trial data, the partners expect to transform how ultra large and multiple datasets are analysed, combined and interpreted to identify early predictors of patient responses to treatments for multiple sclerosis.

You will be responsible for developing and applying pipelines that will use existing and newly developed methods to process the NO.MS image data, assessing quality of the resulting output. You will support and collaborate with scientists and clinicians at University of Oxford and Novartis, to help support data annotation strategies and reproducible data analysis.  You will represent the research group at external meetings/ seminars, either with other members of the group or alone, and act as an interface between the different data analytical and data provisioning teams.

To be successful in this role you will be educated to degree level in Life Sciences, Computational or equivalent. You will have experience in programming (with Python or R), bioinformatic techniques, data management and / or relational databases. You will be able to manage own workload and project manage a team of data scientists. Having experience in clinical trial data management and capable of working under pressure at times to meet deadlines is essential for this role.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract for 2 years and is funded by Novartis.

Only applications received before 12 midday on 24 February 2025 will be considered. Please quote 177592 on all correspondence

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