Data Scientist

Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG Applications are invited for the post of Data Scientist to join the Cardio-Metabolic-Renal Research Group in the Nuffield Department of Primary Care Health Sciences, working closely with Professor James Sheppard and Dr Ariel Wang. The post holder will work on the Adverse Drug Events in Ageing Populations (ADDRESS-AP) project exploring the association between commonly prescribed medications and adverse events such as delirium and falls. The project is being undertaken in collaboration with the AI for Digital Health Research Group, led by Dr Tingting Zhu in the Institute for Biomedical Engineering. The post holder with collaborate closely across these groups and deliver a project using machine learning methods to analyse complex time-series clinical data relating to treatment prescription and clinical outcomes. The role will also contribute to a diverse portfolio of projects and teaching using routinely collected healthcare datasets with the aim of generating evidence to support healthy ageing in the community. The postholder will ideally have expertise in machine learning, including analysis of complex time-series data. Responsibilities will include providing data analysis plans for studies and conducting detailed machine learning analyses, advising staff working on relevant related projects, developing methodologies for analysis, identifying and troubleshooting technical or scientific problems, contributing ideas for generating research income, and leading dissemination activities through the preparation of research publications, book chapters and presentation of papers at conferences or public meetings.

The postholder will have or be close to the completion of a relevant PhD/DPhil in Mathematics, Statistics, Computing, or a related subject (or near completion), together with relevant experience in data science. They will possess a good knowledge of machine learning algorithms and statistical methods, have a proven competence in programming methods in Python or similar languages, an ability to work collaboratively as part of an interdisciplinary team, contribute ideas for new research projects and be able to draft manuscripts for publication and present results at conferences.

The postholder will be based in the Radcliffe Primary Care, Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as their normal place of work, but will be able to agree a pattern of regular remote working with their line manager.