Researcher in Machine/Statistical Learning

Overview

Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF.Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease.Position

Researcher in Machine/Statistical Learning — Postdoctoral ResearcherResponsibilities

Explore the cellular and genomic determinants of healthy aging using cutting-edge single-cell and AI-based tools, as well as population cohort data.Collaborate as an integral member of the Awadalla lab, working with large single-cell data assets and longitudinal population studies hosted at the Big Data Institute, and with other international initiatives.Contribute to study design, data analysis, interpretation of results, and dissemination of findings through publications and presentations.Qualifications

Hold, or be close to completion of, a relevant PhD/DPhil in one of the following: computational genomics; genetic or molecular epidemiology; medical statistics; or statistical genetics.Strong quantitative analysis skills and experience with statistical programming packages such as R.Excellent communication skills.Terms of Appointment

This is a full-time, fixed-term post (part-time considered) for 3 years.Application Details

Closing date for applications: noon on 15 October 2025.Applicants should upload a CV and a cover letter as part of the online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.Contact and Reference

Contact Person: HR RecruitmentVacancy ID: 181095Contact Email: recruit@ndph.ox.ac.ukSalary: £39,424–£47,779 per annum (including Oxford University weighting)Pay Scale: RESEARCH GRADE 7Closing Date and Time: 15-Oct-2025 ..... full job details .....