At a Glance
- Tasks: Analyse complex clinical data using machine learning to support healthy ageing.
- Company: Join the Nuffield Department of Primary Care Health Sciences at Oxford University.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse projects and excellent career development opportunities.
- Why this job: Make a real impact on healthcare by exploring drug effects in ageing populations.
- Qualifications: PhD or near completion in relevant fields, with data science and machine learning expertise.
The predicted salary is between 40000 - 50000 £ per year.
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 will 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.
Responsibilities
- Provide data analysis plans for studies and conduct detailed machine learning analyses.
- Advise staff working on relevant projects and develop methodologies for analysis.
- Identify and troubleshoot technical or scientific problems.
- Contribute ideas for generating research income.
- Lead dissemination activities through preparation of research publications, book chapters, and presentations at conferences or public meetings.
Qualifications
- PhD/DPhil in Mathematics, Statistics, Computing, or a related subject, or near completion of such degree.
- Relevant experience in data science and expertise in machine learning, particularly analysis of complex time-series data.
- Good knowledge of machine learning algorithms and statistical methods.
- Proven competence in programming methods in Python or a similar language.
- Ability to work collaboratively as part of an interdisciplinary team.
- Ability to draft manuscripts for publication and present results at conferences.
Position Details
Based in the Radcliffe Primary Care, Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG, with the possibility of a regular pattern of remote working in agreement with the line manager. Funding: The position is funded by the National Institute for Health and Care Research for a period of two years. Committed to equality and valuing diversity.
For further information please contact Prof James Sheppard: james.sheppard@phc.ox.ac.uk.
Data Scientist in Oxford employer: University of Oxford Careers and Employment
The Nuffield Department of Primary Care Health Sciences offers an exceptional work environment for Data Scientists, fostering a culture of collaboration and innovation. With access to cutting-edge research projects and the opportunity to contribute to meaningful health outcomes, employees benefit from professional growth and development in a supportive setting. Located in the vibrant city of Oxford, the department promotes a healthy work-life balance with flexible working arrangements, making it an ideal place for those passionate about advancing healthcare through data science.
Contact Details:
University of Oxford Careers and Employment Recruitment Team
