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- Tasks: Lead data collection and analysis for a pioneering cancer rehabilitation programme.
- Company: Join Sheffield Hallam University, a leader in innovative health research.
- Benefits: Enjoy a competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact in cancer rehabilitation while working with diverse teams and stakeholders.
- Qualifications: PhD in a relevant field with experience in data management and public health services required.
- Other info: This is a full-time, fixed-term role for 12 months based in Sheffield.
The predicted salary is between 38205 - 42978 £ per year.
Location: Sheffield, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: 00cbef73fb4b
Job Views: 46
Posted: 24.06.2025
Expiry Date: 08.08.2025
Employer/Organisation: Sheffield Hallam University
Contract type: Full time
Contract duration: Fixed term
Duration: 12 months
Salary from - to: £38,205 - £42,978
As a Research Fellow, you will be an integral member of the Active Together team, supporting the delivery of a large and complex cancer rehabilitation programme at the AWRC and sites across Yorkshire. Working closely with the project manager, wider team, and fellow researchers, you will be at the heart of delivering a pioneering multidisciplinary cancer rehabilitation service, contributing to its development, evaluation, and rollout across the county.
We are looking for a PhD qualified researcher in a relevant field with publication and conference experience to lead the data-related aspects of our cancer rehabilitation service. You will oversee data collection and evaluation across multiple sites, monitor performance, report progress, and identify risks or issues. Responsibilities include secure data collection, database management of confidential medical data, data analysis, and visualization. You will share results with the funder, Yorkshire Cancer Research, and all stakeholders involved in service delivery. Communicating your findings locally and internationally will be a key part of your role. You will also contribute to developing, evaluating, and implementing this groundbreaking cancer rehabilitation service across Yorkshire.
You will collaborate with NHS Trusts and partners to establish data collection and transfer processes, advising on data protection and sharing agreements. Additionally, you will review and synthesize current research on exercise oncology and behaviour change strategies, making recommendations for data-driven service improvements. You may contribute to other research projects at the university and propose your own related research initiatives.
We seek candidates with diverse experience, particularly in supporting the delivery and evaluation of complex public health services. Strong skills in data collection, evaluation of complex datasets, problem-solving, communication, stakeholder engagement, and customer service are essential. Experience with NHS services, especially cancer services, would be advantageous.
Research Fellow - Data and Analytics Lead for the Active Together Programme employer: BASES
Contact Detail:
BASES Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow - Data and Analytics Lead for the Active Together Programme
✨Tip Number 1
Familiarise yourself with the Active Together Programme and its objectives. Understanding the nuances of cancer rehabilitation and how data analytics plays a role will help you articulate your passion and knowledge during interviews.
✨Tip Number 2
Network with professionals in the field, especially those involved in public health and cancer services. Attend relevant conferences or webinars to connect with potential colleagues and gain insights into current trends and challenges in the sector.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, particularly any that involved data collection and analysis. Be ready to share specific examples of how your work has contributed to service improvements or stakeholder engagement.
✨Tip Number 4
Showcase your communication skills by preparing to explain complex data findings in simple terms. This is crucial for sharing results with stakeholders who may not have a technical background, so practice articulating your insights clearly.
We think you need these skills to ace Research Fellow - Data and Analytics Lead for the Active Together Programme
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data collection, evaluation, and public health services. Emphasise any previous work with NHS services or cancer rehabilitation programmes.
Craft a Strong Cover Letter: In your cover letter, clearly articulate your motivation for applying to the Research Fellow position. Discuss your PhD qualifications and how your skills align with the responsibilities outlined in the job description.
Showcase Your Research Experience: Include details about your publication and conference experience. Highlight any specific projects where you led data-related aspects, particularly in healthcare or public health contexts.
Prepare for Potential Questions: Think about how you would communicate your findings and engage with stakeholders. Be ready to discuss your approach to data protection and sharing agreements, as well as your strategies for service improvements based on data analysis.
How to prepare for a job interview at BASES
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to data collection and analysis. Highlight any publications or conference presentations that demonstrate your expertise in the field.
✨Understand the Active Together Programme
Familiarise yourself with the goals and objectives of the Active Together Programme. Being able to articulate how your skills align with their mission will show your genuine interest in the role.
✨Prepare for Data-Related Questions
Expect questions about your experience with database management and data protection. Be ready to discuss specific tools and methodologies you have used in past projects to ensure secure and effective data handling.
✨Demonstrate Communication Skills
Since sharing findings with stakeholders is crucial, practice explaining complex data concepts in simple terms. Prepare examples of how you've effectively communicated research results to diverse audiences in the past.