Question 1

What qualifications are required for this Postdoctoral Researcher role?

Accepted Answer

You must hold or be near completion of a PhD/DPhil in quantitative, genetic or molecular epidemiology , medical statistics , or statistical genetics . Strong quantitative analysis skills using R and excellent communication skills are essential. Explore similar postdoc opportunities or research jobs for preparation.

Question 2

What is the research focus in the Awadalla lab?

Accepted Answer

The role explores cellular and genomic determinants of healthy aging using single-cell and AI-based tools , leveraging large datasets from UK Biobank , CanPath , and international cohorts. Ideal for experts in machine/statistical learning . Check postdoc success tips .

Question 3

How do I apply for this University of Oxford position?

Accepted Answer

Upload a CV and cover letter via the online application, detailing how you meet each selection criteria . Deadline is noon on 26 March 2026 . Use our free CV template and cover letter template for academics.

Question 4

What is the employment type and duration?

Accepted Answer

This is a full-time fixed-term post for 3 years , with part-time considered. Based at Oxford Population Health , Old Road Campus. View faculty jobs or research assistant roles for comparisons.

Question 5

What skills in statistical programming are needed?

Accepted Answer

Proficiency in statistical programming packages such as R for quantitative analysis is required, alongside experience with single-cell data and population cohort studies . Build skills via research assistant advice (adaptable globally).

Question 6

Where is the position located and what is the work environment?

Accepted Answer

Located at Old Road Campus, Headington, Oxford, OX3 7LF in the Nuffield Department of Population Health , offering a multi-disciplinary environment for disease prevention research . Part of the Awadalla lab with global datasets. See UK university jobs .

Researcher in Machine/Statistical Learning

University of Oxford

Old Road Campus, Headington, Oxford, OX3 7LF

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