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- Tasks: Analyse large-scale health data and contribute to groundbreaking research on chronic diseases.
- Company: Join a world-renowned research group at Oxford focused on population health.
- Benefits: Competitive salary, supportive environment, and opportunities for professional growth.
- Why this job: Make a real impact in public health while working with leading experts in the field.
- Qualifications: PhD (or near completion) in epidemiology or related field, with strong statistical skills.
- Other info: Full-time role with flexible options and excellent career development opportunities.
The predicted salary is between 39424 - 47779 ÂŁ per year.
Location: Old Road Campus, Headington, Oxford, OX3 7LF. Oxford Population Health (Nuffield Department of Population Health) contains world‑renowned population health research groups and provides an excellent environment for multi‑disciplinary research and teaching. The China Kadoorie Biobank (CKB) Study is a uniquely rich and powerful global resource for investigating the environmental and genetic determinants of common chronic diseases.
We are seeking a talented Epidemiologist who will be an integral member of the “Ageing” research group of the China Kadoorie Biobank based at Oxford, led by Professor Derrick Bennett, at the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Oxford Population Health (Nuffield Department of Population Health). The postholder will analyse large‑scale data from the UK Biobank and China Kadoorie Biobank and will have expertise and proven experience in Cox and Logistic Regression analyses, causal inference methods, and genetic epidemiology in particular Mendelian Randomisation techniques.
The successful candidate will play a key role in shaping research design, contribute to the writing of analysis plans and research articles, formulate new research questions, and contribute to the preparation of grant applications for new research projects.
To be considered for the Epidemiologist post, you will hold a PhD (or close to completion) in epidemiology, medical statistics or a closely related field. You will have substantial experience in practical research as well as statistical epidemiology, handling large (e.g. proteomics) and complex longitudinal datasets in a cloud‑based platform. Excellent written and verbal communication skills are also essential for this role.
The position is full time (although part time considered) and fixed term for 2 years (in the first instance). The closing date for applications is noon on Friday 24 April 2026. You will be required to upload a CV and a Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description.
Contact Person: NDPH Recruitment Team
Contact Phone: 01865617933
Pay Scale: RESEARCH GRADE 7
Contact Email: recruit@ndph.ox.ac.uk
ÂŁ39,424 to ÂŁ47,779 per annum (including Oxford Weighting Allowance).
Epidemiologist in Oxford employer: Haematological Malignancy Research Network
Contact Detail:
Haematological Malignancy Research Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemiologist in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of epidemiology, especially those connected to the China Kadoorie Biobank. Attend relevant conferences or webinars and don’t be shy about introducing yourself and sharing your interests.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of Cox and Logistic Regression analyses. Be ready to discuss your experience with large datasets and how you’ve applied causal inference methods in your previous work.
✨Tip Number 3
Showcase your communication skills! Whether it’s through a presentation or during an interview, make sure you can clearly explain complex concepts in epidemiology. This will demonstrate your ability to contribute to research articles and grant applications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Make sure your CV and Supporting Statement highlight your relevant experience and how you meet the selection criteria.
We think you need these skills to ace Epidemiologist in Oxford
Some tips for your application 🫡
Craft a Compelling CV: Your CV is your first impression, so make it count! Highlight your relevant experience in epidemiology and any specific skills like Cox and Logistic Regression analyses. Tailor it to show how you fit the role perfectly.
Nail the Supporting Statement: This is your chance to shine! Write a cover letter that not only introduces yourself but also clearly addresses each selection criterion from the job description. Be specific about your experience with large datasets and research design.
Show Off Your Communication Skills: Since excellent written and verbal communication skills are essential, make sure your application reflects this. Use clear, concise language and structure your documents well to demonstrate your ability to communicate effectively.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s straightforward and ensures your application gets to the right place. Don’t miss out on this opportunity!
How to prepare for a job interview at Haematological Malignancy Research Network
✨Know Your Data
Familiarise yourself with the UK Biobank and China Kadoorie Biobank datasets. Be prepared to discuss specific examples of how you've handled large datasets in your previous work, especially using Cox and Logistic Regression analyses.
✨Showcase Your Research Skills
Highlight your experience in formulating research questions and writing analysis plans. Bring along any relevant publications or projects that demonstrate your expertise in genetic epidemiology and causal inference methods.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex concepts in simple terms. You might be asked to present your findings or ideas, so clarity is key!
✨Tailor Your Supporting Statement
Make sure your CV and Supporting Statement directly address the selection criteria listed in the job description. Use specific examples from your experience to illustrate how you meet each criterion, as this will set you apart from other candidates.