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- Tasks: Join us as a Statistician to analyse data on early breast cancer outcomes.
- Company: Be part of the Nuffield Department of Population Health, a leader in chronic disease research.
- Benefits: Enjoy 38 days annual leave, a great pension scheme, and childcare services.
- Why this job: Make a real impact in health research while enjoying a vibrant work culture.
- Qualifications: You need a relevant PhD or Master's degree with strong programming skills in statistics.
- Other info: This full-time role is based in Oxford and offers flexible working options.
The predicted salary is between 38674 - 46913 £ per year.
Grade 7: £38,674- £46,913 per annum
If no suitable applicant is forthcoming at grade 7, an appointment on the grade 6 scale (with appropriate adjustment of duties) may be considered. Grade 6: £34,982- £40,855 per annum
The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. NDPH is a major international centre for research into chronic diseases, such as cancer and heart disease.
We are seeking an enthusiastic Statistician with good programming skills to work on a research programme which aims to obtain quantitative information regarding long term outcomes in early breast cancer. Contributing to several projects, you will collate and link data, design, develop and implement statistical analyses and prepare tables, figures and manuscripts for presentation and publication.
To be considered for this role you will have a relevant PhD or a degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or physical science. You will have demonstrable programming ability using a statistical package (e.g. Stata, R, SAS), experience in statistical analysis of medical data and a good understanding of statistical methods such as regression and GLMs.
In return we offer an excellent benefits package including:
- 38 days annual leave (pro rata for part time)
- An excellent contributory pension scheme
- Childcare services
- Family leave schemes
- Cycle and electric car loan schemes
- Employee Assistance Programme
- Membership to social and sports clubs
- Discounted bus travel and travel loans
- Daily (weekday) contribution towards lunch purchased in the BDI/OxPop Buildings
- Twice weekly coffee and cake mornings, and social events throughout the year
This role is based in Oxford, and offered on a full-time basis (part time considered). It is a fixed term post until 31 July 2028.
For any questions about this role, please contact:
The closing date for applications is noon on 28 August 2025.
You will be required to upload a CV and 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
Vacancy ID :
181195
Contact Phone :
Closing Date & Time :
28-Aug-2025 12:00
Pay Scale :
STANDARD GRADE 7
Contact Email :
Salary (£) :
38674 – 46913 #J-18808-Ljbffr
Statistician employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician
✨Tip Number 1
Familiarise yourself with the specific statistical software mentioned in the job description, such as Stata, R, or SAS. Having hands-on experience and being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Engage with current research in the field of population health, particularly studies related to chronic diseases like cancer and heart disease. Being knowledgeable about recent findings and methodologies will show your genuine interest and commitment to the role.
✨Tip Number 3
Network with professionals in the field by attending relevant conferences or seminars. This can provide you with valuable insights into the industry and may even lead to connections that could help you land the job.
✨Tip Number 4
Prepare for potential technical interviews by practising common statistical problems and analyses related to medical data. Being able to discuss your approach and thought process clearly will demonstrate your analytical skills and suitability for the position.
We think you need these skills to ace Statistician
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and requirements of the Statistician position. Make a note of the key skills and experiences they are looking for, such as programming skills and statistical analysis experience.
Craft Your Supporting Statement: Your Supporting Statement is crucial. Write a compelling cover letter that highlights your relevant experience and skills. Clearly address how you meet each of the selection criteria mentioned in the job description, using specific examples from your past work or studies.
Tailor Your CV: Ensure your CV is tailored to the Statistician role. Highlight your educational background, particularly your PhD or Master's degree, and emphasise your programming abilities with statistical packages like Stata, R, or SAS. Include any relevant projects or research that demonstrate your expertise.
Proofread and Submit: Before submitting your application, proofread all documents for spelling and grammatical errors. Ensure that your CV and Supporting Statement are formatted correctly and that all required information is included. Submit your application through our website before the closing date.
How to prepare for a job interview at University of Oxford
✨Showcase Your Programming Skills
Make sure to highlight your programming abilities during the interview. Be prepared to discuss your experience with statistical packages like Stata, R, or SAS, and provide examples of how you've used them in past projects.
✨Understand Statistical Methods
Demonstrate a solid understanding of statistical methods relevant to the role, such as regression and Generalised Linear Models (GLMs). You might be asked to explain these concepts, so brush up on your knowledge beforehand.
✨Prepare Your Supporting Statement
Your Supporting Statement is crucial. Ensure it clearly outlines how you meet each selection criterion listed in the job description. Tailor your cover letter to reflect your enthusiasm for the role and the specific contributions you can make.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. This shows your genuine interest in the position and the research programme. Consider asking about the team dynamics, ongoing projects, or opportunities for professional development.
