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- Tasks: Join a dynamic team to design and analyse clinical trials, making a real impact in medical research.
- Company: Be part of the prestigious University of Oxford's Nuffield Department of Orthopaedics.
- Benefits: Competitive salary, training in clinical trial statistics, and opportunities for career growth.
- Why this job: Contribute to groundbreaking research while developing your statistical skills in a supportive environment.
- Qualifications: Postgraduate degree in statistics or equivalent experience, with strong communication and project management skills.
- Other info: Ideal for MSc students looking to gain hands-on experience before graduation.
The predicted salary is between 35681 - 41636 £ per year.
Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
This is a full time, fixed term position for 2 years. We have an exciting opportunity that has arisen for a Medical Statistician (Grade 6) to join the Oxford Clinical Trials Research Unit (OCTRU) Statistics Team and the Centre for Statistics in Medicine (CSM). The post is based within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, and is located at the Botnar Research Centre, Oxford.
As a member of the OCTRU Statistics Team you will contribute to the design, conduct, analysis and presentation of results of collaborative clinical research projects, mostly randomised clinical trials, across the different units within OCTRU and the Centre for Statistics in Medicine. This will involve interacting directly with researchers, helping to ensure the completion and delivery of projects within deadlines and contributing to maintaining the projects’ scientific quality and integrity.
New team members undergo a training programme in clinical trial statistics and related processes during their first year. In this role, you will assist in the design and set-up of clinical trials within a multidisciplinary team including (but not limited to) the Chief Investigator and Trial Manager as well as provide written statistical input into protocols and ethics committee submissions. You will also provide advice on data collection, CRF development, data validation and data cleaning and data management.
You will prepare statistical analysis plans (SAP) and produce statistical programs for analysis of study data, including generating, validating and monitoring randomisation schedules and performing interim and final analyses.
You must hold a postgraduate degree in statistics (or a closely related subject), a substantial part of which relates to medical statistics, or equivalent experience and be fluent in key aspects of study design and analysis, and aware of the latest statistical techniques. You must have good verbal and written communication skills including the ability to explain complex statistical issues to non-statisticians together with the ability to analyse problems, develop and test solutions, and make judgements.
Additionally you will have a proficient knowledge of statistical software (i.e., R or Stata). You will have good project management skills including the ability to plan and prioritise short and longer-term goals to ensure that all necessary deadlines are met simultaneously for around 4 substantive, and a number of smaller, projects. Proficiency in statistical programming and experience of producing statistical reports and contributing to peer-review publications are desirable.
This position is available now but would be suitable for a current MSc Student in Medical Statistics with a view to starting in September/October 2026. In the latter instance there may be the opportunity to undertake a summer project with the team.
OCTRU Medical Statistcian in Oxford employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land OCTRU Medical Statistcian in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Botnar Research Centre or within OCTRU. A friendly chat can give us insider info on the team culture and what they really value in candidates.
✨Tip Number 2
Prepare for the interview by brushing up on your statistical knowledge and recent advancements in medical statistics. We want to show that we’re not just good with numbers, but also passionate about the field!
✨Tip Number 3
Practice explaining complex statistical concepts in simple terms. This role involves communicating with non-statisticians, so let’s make sure we can break it down without losing the essence of our expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows that we’re serious about joining the OCTRU Statistics Team.
We think you need these skills to ace OCTRU Medical Statistcian in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Medical Statistician role. Highlight your relevant experience in clinical trials and statistical analysis, and don’t forget to mention any software skills like R or Stata that you possess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about medical statistics and how your background makes you a perfect fit for the OCTRU team. Be sure to mention specific projects or experiences that relate to the job.
Showcase Your Communication Skills: Since you'll be explaining complex statistical concepts to non-statisticians, make sure to demonstrate your communication skills in your application. Use clear, concise language and avoid jargon where possible to show you can bridge that gap!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at University of Oxford
✨Know Your Stats
Brush up on your medical statistics knowledge before the interview. Be ready to discuss key statistical techniques and how they apply to clinical trials. This will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Communication Skills
Prepare to explain complex statistical concepts in simple terms. Think of examples where you've had to communicate with non-statisticians. This is crucial for the role, so demonstrating your ability to bridge that gap will impress the interviewers.
✨Project Management Prowess
Be ready to talk about your project management experience. Highlight specific instances where you successfully planned and prioritised tasks to meet deadlines. This will show that you can handle multiple projects simultaneously, which is key for this position.
✨Familiarity with Software
Make sure you’re comfortable discussing your experience with statistical software like R or Stata. If you’ve worked on any relevant projects, be prepared to share details about your contributions and the outcomes. This will demonstrate your technical proficiency.
