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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 fun social events.
- Why this job: Make a real impact in health research while working in a collaborative environment.
- 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 runs until July 2028.
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: Gurdeep.Mannu@ndph.ox.ac.uk
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 :
recruit@ndph.ox.ac.uk
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 packages mentioned in the job description, such as Stata, R, or SAS. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical skills during any interviews.
✨Tip Number 2
Engage with current research in the field of population health, particularly studies related to chronic diseases like cancer and heart disease. This knowledge will help you speak more intelligently about the role and show your genuine interest in the department's work.
✨Tip Number 3
Network with professionals in the field by attending relevant conferences or workshops. Making connections can provide you with insights into the role and potentially lead to referrals, which can significantly enhance your chances of landing the job.
✨Tip Number 4
Prepare for potential interview questions by practising how you would explain complex statistical methods, such as regression and GLMs, in simple terms. Being able to communicate your expertise clearly will set you apart from other candidates.
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 key responsibilities and requirements for the Statistician position. Make a note of the specific skills and experiences they are looking for, such as programming ability and statistical analysis experience.
Craft Your Supporting Statement: Your Supporting Statement is crucial. Start with a strong cover letter that introduces yourself and expresses your enthusiasm for the role. Then, clearly address how you meet each of the selection criteria listed in the job description, providing specific examples from your experience.
Highlight Relevant Skills: Emphasise your programming skills with statistical packages like Stata, R, or SAS. Include any relevant projects or research where you applied these skills, particularly in medical data analysis or statistical methods such as regression and GLMs.
Review and Submit: Before submitting your application, review your CV and Supporting Statement for clarity and accuracy. Ensure that all required documents are uploaded and that your application is submitted before the closing date of 28 August 2025.
How to prepare for a job interview at University of Oxford
✨Know Your Statistics
Brush up on your statistical methods, especially regression and GLMs. Be prepared to discuss how you've applied these techniques in past projects, particularly in medical data analysis.
✨Demonstrate Programming Skills
Familiarise yourself with the statistical packages mentioned in the job description, such as Stata, R, or SAS. You might be asked to solve a problem or demonstrate your coding skills during the interview.
✨Prepare Your Supporting Statement
Your supporting statement is crucial. Make sure it clearly outlines how you meet each selection criterion. Use specific examples from your experience to illustrate your qualifications.
✨Ask Insightful Questions
Prepare thoughtful questions about the research programme and the team you'll be working with. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
