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An exciting position has arisen for a Health Data Scientist, to work with diverse types of imaging data, addressing key clinical challenges in understanding of osteoarthritis progression. You will join a multi-disciplinary team employing quantitative approaches to novel biomedical problems at the Big Data Institute, Nuffield Department of Medicine.

Under the direction of Professor Thomas Nichols, and line management of Associate Professor Bartlomiej Papiez, you will work on Artificial Intelligence (AI), Machine Learning (ML), and medical image analysis methods and their application for monitoring and assessment of osteoarthritis (OA) progression using longitudinal imaging data (Magnetic Resonance Imaging, and radiographs). You will provide statistical analysis plans for studies and undertake day to day planning of work. Similarly, you will be conducting detailed analysis of datasets, check validate and clean data.

It is essential that you hold a degree or equivalent in life sciences, engineering, mathematics or computational. You will have experience in programming (with python) for imaging data processing. Having excellent organisational and prioritisation skills is essential, and you will have good written and oral communication skills including ability to present complex information in a concise and clear manner to people from different backgrounds.

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 until 31 August 2024 and is funded by the Novartis Collaboration.

Only applications received before 12 midday on 17 July 2023 will be considered. Please quote 166234 on all correspondence.