Data Wrangler/Data Scientist

·
Full time
Location: Oxford
·
Job offered by: University of Oxford
·
Category: IT & Technology
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 your own workload and project manage a team of data scientists. Having experience in clinical trial data management and being 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.

Contact Person: Kristina Limbu Vacancy ID: 177592 Contact Phone: 01865 617971 Closing Date & Time: 24-Feb-2025 12:00 Pay Scale: STANDARD GRADE 7 Contact Email: recruitment@ndm.ox.ac.uk Salary (£): Grade 7: Salary in range £38,674 - £46,913 per annum (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,500 per year (pro rata).

#J-18808-Ljbffr

Recent Jobs

London (On site) · Full time

Are you a smart, driven professional who takes pride in making a difference in local communities? Turner & Townsend’s Real Estate division is experiencing significant growth and we’re looking for an experienced industry professional with health project experience to join our high-performing and collaborative Project Management team. Why Join Us? Impactful Work: Contribute to social [...]Read More... from Assistant Project Manager – Healthcare See details

Chasetown (On site) · Full time

My client, Autosmart International are a manufacturing success story! Site Operations Manager – leading fast-paced manufacturing and warehousing About Our Client Autosmart International is a manufacturing success story, leading the field in vehicle cleaning products. We are the No.1 choice of automotive trade customers across the UK. We have doubled in size in the last [...]Read More... from Site Operations Manager See details

London (On site) · Full time

CSS are looking for an experienced duty officer to join our client’s team who are a local council responsible for all areas within the Tendering district. Working hours: All shifts are 8 hours long with various start times available: Monday to Friday – start times between 6AM – 3PM Saturday & Sunday – 6AM – [...]Read More... from Duty Officer See details