Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF
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.
We are seeking a creative and enthusiastic Senior Researcher with extensive experience of applied machine learning to work in a large and successful research group focused on analysing healthcare data. You will be a central part of our research group and will be working on key deliverables from our recent National Institute for Health Research Biomedical Research Centre (BRC) and Health Protection Research Unit (HPRU) awards. Example areas of work include developing models to optimise use of antibiotics in hospitals, models to detect and stop spread of healthcare-associated infections, and models to optimise flow of patients through hospitals and other operational aspects of healthcare.
The role is supported by a diverse and extensive multi-disciplinary team of other machine learning researchers, statisticians, clinicians, software engineers and project managers. Academic oversight and supervision will be provided by David Eyre, Professor of Infectious Diseases, an NHS clinician, and an expert in multiple relevant data science areas. Additional support will be provided by Prof Sarah Walker, Professor of Medical Statistics and Epidemiology, HPRU Director and BRC Theme Lead, and Prof David Clifton, Professor of Clinical Machine Learning and lead of the University of Oxford Computational Health Informatics Lab.
Your main responsibilities will be to identify, define and plan new machine learning approaches to address the research aims and requirements of funded grants and awards as well as to conduct high-quality, reproducible, and detailed analysis of datasets and develop predictive tools that are ready for use by other researchers and for testing in clinical evaluations.
To be considered you will hold (or be close to completion of) a PhD in relevant scientific subject. Strong experience, ability and practical success in machine learning and statistics as well as proficiency in the use of programming languages and statistical analyses are essential for this post. Previous research experience applying machine learning methods to large-scale healthcare data would be desirable.
The post is full-time (although part-time is considered) and fixed term for 2 years. The closing date for applications is noon on Friday, 17 February 2023.
You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.
Contact Person : NDPH Recruitment Team Vacancy ID : 162739 Contact Phone : 01865 743629 Closing Date & Time : 17-Feb-2023 12:00 Pay Scale : STANDARD GRADE 8 Contact Email : [email protected] Salary (£) : Grade 8: £43,414 - £51,805 per annum