Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford
Applications are invited for a Senior Researcher to work with a team working with Professor Sir Aziz Sheikh on a research programme that involves research into developing risk prediction algorithms across a UK-wide (four nation) portfolio of inflammation and immunity research studies to answer questions about healthcare utilisation and outcomes for common allergic and respiratory conditions in near real time.
The successful applicant will lead in research to develop, test and validate next generation risk prediction algorithms across a range of datasets and cohorts across the four nations as part of the HDRUK funded Driver Program for Inflammation and Immunity. Responsibilities will include leading analysis of multiple linked datasets to understand, and provide expert advice and guidance on the delivery of effective, safe and personalised care, developing risk prediction algorithms and to coordinate and generate research opportunities for use of respiratory, allergy and wider inflammatory-mediated disease data with other existing data and cohorts (e.g. genomic, financial, pollution, meteorological, wearable).
You will have a PhD in relevant scientific or numerate subject such as data science, or able to demonstrate relevant and equivalent experience. You will have significant experience in writing complex queries to interrogate databases and accompanying statistical analysis packages (e.g. R, SQL) and of developing and testing risk prediction algorithms in health data.
You will be based in the Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as your normal place of work but there may be the opportunity for occasional remote working as agreed with your line manager.
The position is full-time and fixed term until 31 July 2027 in the first instance.
For further information or discuss the post please contact Stuart Faulkner (Senior Program Manager), [email protected].
“Committed to equality and valuing diversity”
You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. Please do not attach any manuscripts, papers, transcripts, mark sheets or certificates as these will not be considered as part of your application.
The closing date for applications is 12:00 noon on Monday 24 February 2025.
Contact Person : HR Team Vacancy ID : 175588 Contact Phone : Closing Date & Time : 24-Feb-2025 12:00 Pay Scale : RESEARCH GRADE 8 Contact Email : [email protected] Salary (£) : Salary in the range £48,235 – £54,066 per annum (pro rata)