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- Tasks: Manage project data for the iMPROVE initiative, ensuring targets and compliance are met.
- Company: Join a leading university known for excellence and innovation in education and research.
- Benefits: Enjoy flexible working options and a supportive family-friendly environment.
- Why this job: Make a real impact on healthcare while working with cutting-edge data management techniques.
- Qualifications: Degree in computer science or related field; experience in data management required.
- Other info: Potential for future roles within the department; commitment to gender equality.
The predicted salary is between 31400 - 46400 £ per year.
Department/School: School of Medicine
Campus: Derry~Londonderry
Salary: £39,423 per annum
Duration: Fixed-Term until 28th February 2029 / Full-Time
Closing Date: 21st July 2025
Reference Number: 036707
- ABOUT US -
We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer.
- THE ROLE -
The postholder will provide dedicated project data management support for the iMPROVE project to ensure performance against objectives, targets and legislative compliance. The postholder will co-ordinate data gathering, analysis and reporting activities to ensure that programme outcomes are successfully met. iMPROVE is a €10.1M EU PEACEPLUS funded cross-border project, led by Ulster University, which seeks to implement and deliver specialist personalised medicine and person-centric care to improve prescribing safety for 10,000 people living with health conditions in the rural and urban communities of Northwest Ireland and Tayside in Scotland. People taking part in the research project will undergo a 6 or 12-month intervention for optimisation of prescribed medicines using an innovative disruptive primary care and community-based approach.
- ABOUT YOU -
- A degree in computer science, information technology, data science, or related subject.
- Proven success in project data management and delivery, tracking and monitoring performance and co-ordinating and managing data systems.
- Previous experience of data handling skills, (e.g. collection, modelling, data completeness monitoring, quality assurance, analysis, and distribution) with the ability to analyse and interrogate complex data sets.
Please find our employee benefits listed on our website.
The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.
Data Officer (improve Project) - School of Medicine employer: Ulster University
Contact Detail:
Ulster University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Officer (improve Project) - School of Medicine
✨Tip Number 1
Familiarise yourself with the iMPROVE project and its objectives. Understanding the project's goals will help you demonstrate your enthusiasm and alignment with their mission during any discussions or interviews.
✨Tip Number 2
Network with professionals in the field of data management and healthcare. Attend relevant events or webinars to connect with individuals who may have insights into the role or the organisation, which could give you an edge.
✨Tip Number 3
Prepare to discuss specific examples of your previous data management experiences. Be ready to explain how you've successfully handled data collection, analysis, and reporting in past projects, as this will showcase your suitability for the role.
✨Tip Number 4
Research the latest trends in personalised medicine and data management within healthcare. Being knowledgeable about current developments can help you engage in meaningful conversations and demonstrate your commitment to the field.
We think you need these skills to ace Data Officer (improve Project) - School of Medicine
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and requirements of the Data Officer position. Tailor your application to highlight how your skills and experiences align with the specific needs of the iMPROVE project.
Highlight Relevant Experience: In your CV and cover letter, emphasise your previous experience in project data management, data handling, and analysis. Use specific examples to demonstrate your success in these areas, particularly any relevant projects or roles that showcase your ability to manage complex data sets.
Craft a Strong Cover Letter: Write a compelling cover letter that not only introduces yourself but also explains why you are passionate about the role and how you can contribute to the iMPROVE project. Make sure to address the key qualifications mentioned in the job description.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a data management role.
How to prepare for a job interview at Ulster University
✨Know Your Data
Make sure you have a solid understanding of data management principles and practices. Be prepared to discuss your experience with data collection, analysis, and reporting, especially in relation to project management.
✨Familiarise Yourself with the iMPROVE Project
Research the iMPROVE project thoroughly. Understand its objectives, the communities it serves, and the impact it aims to achieve. This will show your genuine interest and help you align your skills with their goals.
✨Prepare for Technical Questions
Expect technical questions related to data handling and analysis. Brush up on your knowledge of data systems and be ready to provide examples of how you've successfully managed complex data sets in previous roles.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in data management and how you overcame them. Highlight your analytical thinking and ability to adapt to changing circumstances, which are crucial for this role.
