At a Glance
- Tasks: Join a dynamic team to develop and test innovative statistical methods for health research.
- Company: Be part of the University of Birmingham, a leading institution in applied health sciences.
- Benefits: Enjoy opportunities for academic publications, workshops, and potential remote work options.
- Other info: Contribute to exciting projects that engage with stakeholders in African countries.
- Why this job: Make a real impact in health research while collaborating with top experts in the field.
- Qualifications: PhD or equivalent experience in statistics, mathematics, or related fields is required.
The predicted salary is between 36000 - 60000 € per year.
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Research Fellow (Statistics) - Department of Applied Health Sciences - 106065 - Grade 7
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Client:
University of Birmingham
Location:
United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
496177ecd00c
Job Views:
7
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
Summary
- Work with the study investigators (Prof. Sam Watson (University of Birmingham), Dr Penelope Hancock (Imperial College London) and Prof. Fredros Okumu (University of Glasgow/Ifakara Health Institute) to develop and test new methods for trial design and analysis.
- Developing statistical models and code to run the proposed methods.
- Developing and running simulation-based analyses of the new methods.
- Contribute to generating academic publications and reports.
- Contribute to public and stakeholder engagement workshops
Main Duties
The responsibilities may include some but not all of the responsibilities outlined below.
- Contribute to the development, documentation, and testing of new statistical methods.
- Develop code to run and evaluate statistical models, with the support of project supervisors.
- Support writing of research outputs for academic and lay audiences, and contribute to the development and running of stakeholder engagement activities in African countries.
- Contribute to writing bids for research funding.
- Apply knowledge in a way which develops new intellectual understanding.
- Disseminate research findings for publication, including research seminars and conferences.
- Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline.
- Undertake management/administration arising from research.
- Contribute to developing new models, techniques and methods.
- Contribute to Departmental/School research-related activities and research-related administration.
- Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader.
- Provide guidance, as required, to support staff and any students who may be assisting with the research.
- Deal with problems that may affect the achievement of research objectives and deadlines.
- Promote equality and values diversity acting as a role model and fostering an inclusive working culture.
Person Specification
- PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology.
- Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and model fitting, including Bayesian model fitting, is desirable but not essential.
- Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential.
- Ability to communicate complex information clearly.
- Excellent ability to work as a team and independently including co-ordinating own work with others to avoid conflict or duplication of effort.
- Understanding of and ability to contribute to broader management/administration processes.
- Contribute to the planning and organising of the research programme and/or specific research project.
Research Fellow (Statistics) - Department of Applied Health Sciences - 106065 - Grade 7 employer: University of Birmingham
The University of Birmingham is an exceptional employer, offering a vibrant and inclusive work culture that fosters collaboration and innovation in the field of health sciences. As a Research Fellow in Statistics, you will have access to extensive professional development opportunities, including mentorship from leading academics and the chance to contribute to impactful research that shapes public health policy. Located in the heart of the UK, the university provides a supportive environment for both personal and professional growth, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow (Statistics) - Department of Applied Health Sciences - 106065 - Grade 7
✨Tip Number 1
Network with professionals in the field of statistics and health sciences. Attend relevant conferences or workshops where you can meet researchers and academics from institutions like the University of Birmingham, Imperial College London, and the University of Glasgow. Building these connections can provide insights into the role and potentially lead to recommendations.
✨Tip Number 2
Familiarise yourself with the latest statistical methods and software mentioned in the job description, such as Stata, R, and Python. Consider taking online courses or participating in webinars that focus on these tools, especially in the context of health sciences research, to demonstrate your commitment and readiness for the role.
✨Tip Number 3
Engage with current research outputs from the department or similar institutions. Reading recent publications can help you understand the types of projects being undertaken and the methodologies used. This knowledge will not only prepare you for interviews but also show your genuine interest in their work.
✨Tip Number 4
Prepare to discuss your experience with large datasets and any relevant projects you've worked on. Be ready to explain how you've applied statistical models in practical scenarios, as this will be crucial in demonstrating your fit for the role during interviews or discussions with potential supervisors.
We think you need these skills to ace Research Fellow (Statistics) - Department of Applied Health Sciences - 106065 - Grade 7
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your PhD or equivalent experience in statistics, mathematics, or related fields, and include any specific statistical methods or programming languages you are proficient in.
Craft a Strong Cover Letter:Write a compelling cover letter that addresses the key responsibilities of the role. Discuss your experience with statistical models, your ability to communicate complex information, and your enthusiasm for contributing to academic publications and stakeholder engagement.
Showcase Relevant Projects:Include examples of past projects where you developed statistical models or conducted analyses. Highlight any experience with large datasets and the tools you used, such as Stata, R, or Python, to demonstrate your technical capabilities.
Proofread and Edit:Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and concise, as this reflects your communication skills, which are crucial for the role.
How to prepare for a job interview at University of Birmingham
✨Showcase Your Statistical Skills
Be prepared to discuss your experience with statistical models and data analysis. Highlight any specific projects where you've developed or implemented statistical methods, especially if they relate to health sciences.
✨Demonstrate Team Collaboration
Since the role involves working with various researchers, emphasise your ability to work in a team. Share examples of past collaborations and how you contributed to achieving common goals.
✨Prepare for Technical Questions
Expect questions about your familiarity with programming languages like R, Python, or Stata. Brush up on your coding skills and be ready to discuss how you've used these tools in your research.
✨Communicate Clearly
You’ll need to explain complex statistical concepts to diverse audiences. Practice articulating your research in simple terms, as this will demonstrate your ability to engage with both academic and lay audiences.
