Researcher in Genomic Discovery

University of Oxford

United Kingdom

October 3, 2022

Description

Researcher in Genomic Discovery

Oxford Population Health (Nuffield Department of Population Health), Old Road Campus, Oxford

Oxford Population Health (Nuffield Department of Population Health) contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. Oxford Population Health is a key partner in the Big Data Institute (BDI), contains world- renowned population health research groups and is an excellent environment for multi-disciplinary teaching and research.

As a Researcher working on the Oxford – Novo Nordisk Collaboration, you will conduct genetic discovery analyses using novel microvascular phenotypes derived using machine learning models from multimodal data (including imaging). You will work at the cutting edge of what can be achieved with artificial intelligence and machine learning, and the translation of these findings to lead the way into development of treatments for patients.

To be considered you will hold (or be close to completion of) a PhD in statistical genetics, genetic epidemiology, or a closely related field. You will also have an excellent understanding of common statistical genetics methods, experience of applying genetic discovery methods to real clinical problems and previous experience of first author contribution in leading journals.

The position is full time (part time considered) and fixed-term for 2.5 years. The closing date for application is 12.00 noon on 3rd October 2022.

Contact Person : HR Assistant Vacancy ID : 159776 Contact Phone : 01865743631 Closing Date & Time : 03-Oct-2022 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : recruit@ndph.ox.ac.uk Salary (£) : 33309 - 40927

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About the employer

The University of Oxford is the oldest university in the English-speaking world, and is actually so ancient that its founding date is unknown – though it is thought that teaching took place there as early as the 11th century. It’s...