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- Tasks: Join our trial statistics team and contribute to clinical trial activities.
- Company: Be part of the Nuffield Department of Primary Care Health Sciences at Oxford.
- Benefits: Enjoy potential remote work options and a competitive salary package.
- Why this job: Make a real impact in healthcare while developing your statistical skills in a supportive environment.
- Qualifications: Postgraduate degree in statistics with experience in clinical trials required.
- Other info: Opportunities for development available; initial roles may be offered at a lower grade.
The predicted salary is between 38674 - 46913 £ per year.
Applications are invited for a Medical Statistician, to join the Primary Care Clinical Trials Unit (PC-CTU) trial statistics team.
The successful applicant will be expected to contribute to all statistical aspects of clinical trial activities within the PC-CTU and outside the PC-CTU.
This is a full-time position for two years in the first instance.
You will hold a Postgraduate degree in statistics supported by a publication record and experience in working on Clinical Trials as a Medical Statistician.
You will be based in the Gibson Building, Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as your normal place of work but there may be the opportunity for occasional remote working which you need to agree a pattern of regular remote working with your line manager.
For further information or discuss the post please contact Dr. Milensu Shanyinde milensu.shanyinde@phc.ox.ac.uk
Underfilling the Post: Whilst the role is a grade 7 (£38,674 – £46,913 p.a.) position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at grade 6 (£34,982 – £40,855 p.a.) with the responsibilities adjusted accordingly. This would be discussed with applicants at the interview or appointment, where appropriate.
\”Committed to equality and valuing diversity\”
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. Click here for information and advice on writing an effective Supporting Statement. Please do not attach any manuscripts, papers, transcripts, mark sheets or certificates as these will not be considered as part of your application.
The closing date for applications is 12:00 noon on Wednesday 13 August 2025.
Interviews are expected to be held on Wednesday 17 September 2025.
Contact Person :
HR Team
Vacancy ID :
180402
Contact Phone :
Closing Date & Time :
13-Aug-2025 12:00
Pay Scale :
STANDARD GRADE 7
Contact Email :
recruitment@phc.ox.ac.uk
Salary (£) :
38,674 – 46,913 with a discretionary range to £51,059 per annum (pro-rata)
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Medical Statistician employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical Statistician
✨Tip Number 1
Familiarise yourself with the latest statistical methods used in clinical trials. This will not only boost your confidence during interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Network with professionals in the medical statistics field, especially those who have experience with clinical trials. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to clinical trials. Be ready to explain your role, the statistical techniques you employed, and the outcomes of those projects.
✨Tip Number 4
Reach out to Dr. Milensu Shanyinde before applying to express your interest and ask any questions about the role. This shows initiative and can help you stand out as a candidate.
We think you need these skills to ace Medical Statistician
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and requirements of the Medical Statistician position. Make a note of the key selection criteria that you need to address in your application.
Craft Your Supporting Statement: Your Supporting Statement should include a cover letter and clearly outline how you meet each of the selection criteria. Use specific examples from your experience to demonstrate your skills and achievements relevant to clinical trials.
Tailor Your CV: Ensure your CV is up-to-date and tailored to highlight your postgraduate degree in statistics, publication record, and any relevant experience in clinical trials. Focus on quantifiable achievements and relevant skills that align with the job requirements.
Follow Application Instructions: When submitting your application, make sure to upload only the required documents: your CV and Supporting Statement. Avoid attaching any additional materials like manuscripts or transcripts, as they will not be considered.
How to prepare for a job interview at University of Oxford
✨Know Your Statistics
As a Medical Statistician, you need to demonstrate a solid understanding of statistical methods relevant to clinical trials. Brush up on key concepts and be prepared to discuss how you've applied them in your previous work.
✨Tailor Your Supporting Statement
Make sure your Supporting Statement clearly addresses the selection criteria outlined in the job description. Highlight your experience in clinical trials and any publications that showcase your expertise in statistics.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis and clinical trial methodologies. Practise explaining complex statistical concepts in simple terms, as you may need to communicate these ideas to non-statistical colleagues.
✨Show Your Team Spirit
The role involves working within a team, so be ready to discuss your collaborative experiences. Share examples of how you've worked effectively with others in past projects, especially in a clinical trial setting.
