Senior Researcher - Health Data Science, Epidemiology or Medical Statistics

University of Oxford

Senior Researcher - Health Data Science, Epidemiology or Medical Statistics

£54395

University of Oxford, Oxford

  • Full time
  • Temporary
  • Onsite working

Posted 2 weeks ago, 17 May | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 447007ff75154e1c923506d460376023

Full Job Description

Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford, For the applicant to be considered as a Senior Researcher, in addition to the above, they will be expected to line manage junior post-doctoral researchers in the group, lead their own area of research, lead or coordinate the write-up of research grants with the help of the team, and contribute to the teaching and supervision of MSc and DPhil students in the research group.

We are looking to recruit a Senior Researcher to work as part of our team the Clinical informatics and Health Outcomes Research Group (ORCHID ::: Oxford-RCGP RSC). The successful applicant should have a keen interest to work with large primary care datasets (>19 million contemporary population), linked to other data including hospitalisation. We are seeking an enthusiastic individual with experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological or statistical skills who would like to work with large real world health datasets.
The successful applicant will take responsibility for some aspects of project work and must be willing and able to make academic judgement, offering original and creative thoughts and be able to conduct, interpret and analyse results. Current research focuses on several disease areas including flu, COVID-19 and RSV surveillance and vaccine effectiveness. We also have a cardiometabolic theme and conduct research on diabetes, heart disease, chronic kidney and liver disease and other long-term conditions as well as consultation behaviours.
The post provides an outstanding opportunity to undertake and publish high impact quantitative work using electronic health data. The successful applicant will also have a track record of or willingness to learn new methodologies, developing statistical models. They will have a good working knowledge of modern applied statistical techniques, and analysing routine health care data sets. Experience of working with SQL, in AWS and its native tools would be of interest but not essential for the role. Knowledge of a statistical programming language, preferably R as it is desirable.
The post holder will report to Prof Simon de Lusignan and Dr Jose Ordonez-Mena. The post holder will be encouraged to develop research ideas and apply for research/programme grants under supervision of the line manager. They will also be able to present their work at scientific and other meetings.

This post is offered full-time and fixed-term until 30 June 2026 in the first instance.