Post-Doctoral Data Science Research Associate

University of Oxford; Oxford; On-site; GBP 48,000 - 56,000; Full time

Job summary

A leading university in the UK is looking for a Post-Doctoral Data Science Research Fellow to join a recognized team at the Oxford Centre for Diabetes Endocrinology and Metabolism. This role involves innovative research on circadian rhythms and cardiometabolic disease, offering opportunities for professional development through collaboration and training. The position is funded for three years with an excellent salary range, ideal for candidates with a strong background in data science and relevant publications.

Qualifications

• Must hold a PhD/DPhil in a relevant subject.
• Peer-reviewed publications using data science approaches.
• Interest in sleep and cardiometabolic disease.

Responsibilities

• Conduct in-silico analysis of human rhythmic behaviour.
• Supervise technical staff and graduate research students.
• Direct daily research activities.

Skills

Data Science

Mendelian Randomisation

Epidemiological Analysis

Education

PhD/DPhil in relevant subject

Job description

Post-Doctoral Data Science Research Fellow

Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM), Churchill Hospital, Old Road, Headington, Oxford, OX3 7LE

Grade 8: £48,235 - £55,636 per annum

We are seeking an enthusiastic post-doctoral Research Fellow to work within a vibrant research team headed by David Ray and Rebecca Richmond at the Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science.

We will make every effort to support the successful candidate to research independence through the programme, and with training and mentoring opportunities at departmental and University level.

The work will be exclusively in-silico analysis of human rhythmic behaviour, including sleep and chronotype, and cardiometabolic disease. We will use publicly available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease.

The successful applicant will join an established multidisciplinary research team, undertaking and directing the research day to day whilst also supervising both technical staff and graduate research students attached to the project.

The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis, including Mendelian randomisation and genetic co-localisation approaches, epidemiological analysis of UK Biobank data, and an interest in sleep and cardiometabolic disease. They will possess sufficient specialist knowledge in the discipline to work within established research programmes.

The position, funded by a new MRC programme grant, is full-time for three years in the first instance. The position will be based at OCDEM, Churchill Hospital, Headington, Oxford.

Please note: This role has previously been advertised. We kindly request that previous candidates do not reapply, as their applications have already been considered.

For informal enquiries, please contact Ruby Ramsamy at [e-mail] . Please quote the job reference (180450) on all correspondence. As part of your formal online application, you will be required to upload a CV and supporting statement. Only applications received before midday on Wednesday, 20th August 2025, can be considered. Interviews are scheduled for Wednesday, 17th September 2025.

Contact Person :

Ruby Ramsamy

Vacancy ID :

180450

Contact Phone :

Closing Date & Time :

20-Aug-2025 12:00

Pay Scale :

STANDARD GRADE 8

Contact Email :

[e-mail]

Salary (£) :

48,235 - 57,255 per annum