Postdoctoral Research Assistant in Medical Statistics

24 hours ago


Oxford, Oxfordshire, United Kingdom University of Oxford, Department of Engineering Science Full time
Postdoctoral Research Assistant in Medical Statistics

We are seeking a highly motivated Postdoctoral Research Assistant in Medical Statistics to join our team at the University of Oxford, Department of Engineering Science. The successful candidate will have a strong background in medical statistics and a keen interest in Artificial Intelligence (AI).

The Computational Health Informatics (CHI) Laboratory is a leading group for AI in Healthcare, and we are looking for a researcher to work with senior medical statisticians to develop medical statistical methods for improving our understanding of patient physiological conditions.

This is a fixed-term post for up to 12 months, with the possibility of an extension. The successful candidate will be responsible for working with senior medical statisticians to develop medical statistical methods for improving our understanding of patient physiological conditions, across a number of high-profile collaborations.

The CHI Lab is one of the largest groups in the Department of Engineering Science, with a friendly, close-knit collaborative team that undertakes impactful machine learning expertise with world-leading clinicians across Oxford's Medical Sciences Division.

The successful candidate will have a PhD (or be close to completion) in mathematics, medical statistics, computational statistics, or a cognate discipline. They should also have experience of working in a highly interdisciplinary team, a good knowledge of medical statistics, and a good publication record in the scientific literature.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

To apply, please upload a covering letter/supporting statement, including a brief statement of research interests, CV, and the details of two referees as part of your online application. Only online applications received before midday on 5 April 2024 can be considered.



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