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- Tasks: Join a dynamic team to conduct impactful clinical trials and statistical research.
- Company: Be part of the Leeds Institute of Clinical Trials Research, a leader in clinical trials.
- Benefits: Enjoy 26 days holiday, gym discounts, personal development courses, and flexible working options.
- Why this job: Make a real difference in healthcare while developing your skills in a supportive environment.
- Qualifications: Open to MSc students in their final year; passion for statistics and research is key.
- Other info: Hybrid working available; potential for PhD applications.
The predicted salary is between 28800 - 48000 £ per year.
Medical Statistician
Are you looking for an excellent opportunity to develop your career and further broaden your expertise through methodological research within a supportive and stimulating environment?
The Clinical Trials Research Unit within the Leeds Institute of Clinical Trials Research (LICTR) is an international leader in the field of clinical trials. The Unit is one of the largest in the UK and conducts national and international randomised and early phase clinical trials in a variety of clinical fields.
Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this.
You will join a large, well-established group of statisticians and will work on trials designed to answer questions of real importance that will contribute to improved care pathways and patient outcomes across a range of long-term health conditions of strategic importance to NHS, patients and social care.
You will work closely, interactively and collaboratively with a multidisciplinary project team, including statisticians, programmers, clinicians, health economists, health service researchers and trial managers.
We welcome applications from MSc students in the final year of their studies.
What we offer in return
26 days holiday plus 16 Bank Holidays/days that the University is closed by custom (including Christmas).
Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
The opportunity, if applicable, to apply for a PhD.
Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Medical Statistician employer: University of Leeds
Contact Detail:
University of Leeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical Statistician
✨Tip Number 1
Familiarise yourself with the latest trends and methodologies in clinical trials. Being knowledgeable about current practices will not only boost your confidence during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the field of medical statistics and clinical trials. Attend relevant conferences or webinars, and connect with people on platforms like LinkedIn. This can lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare for potential technical questions by brushing up on statistical software commonly used in clinical trials, such as R or SAS. Being able to discuss your experience with these tools can set you apart from other candidates.
✨Tip Number 4
Showcase your collaborative skills by discussing past experiences where you worked in multidisciplinary teams. Highlighting your ability to communicate effectively with various professionals will align well with the role's requirements.
We think you need these skills to ace Medical Statistician
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Medical Statistician position. Understand the key responsibilities and required skills, as this will help you tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise any relevant experience you have in clinical trials, statistical analysis, or working within multidisciplinary teams. Use specific examples to demonstrate your expertise and how it aligns with the role.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the organisation. Mention why you are interested in working at the Leeds Institute of Clinical Trials Research and how you can contribute to their goals.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a role in statistics.
How to prepare for a job interview at University of Leeds
✨Understand the Role
Make sure you have a clear understanding of what a Medical Statistician does, especially in the context of clinical trials. Familiarise yourself with key statistical methods and how they apply to real-world health scenarios.
✨Showcase Your Collaboration Skills
Since the role involves working closely with a multidisciplinary team, be prepared to discuss your experience in collaborative projects. Highlight any instances where you've successfully worked with professionals from different backgrounds.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis and methodologies. Brush up on your knowledge of statistical software and be ready to discuss how you've applied these tools in past projects or studies.
✨Express Your Passion for Research
Demonstrate your enthusiasm for methodological research and its impact on patient outcomes. Share any relevant experiences or projects that showcase your commitment to improving clinical practices through statistics.