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- Tasks: Manage project data for the iMPROVE initiative, ensuring compliance and performance tracking.
- Company: Join a leading university known for innovation and community engagement in Northern Ireland.
- 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 and diversity.
The predicted salary is between 33938 - 43908 £ per year.
Job Title: Data Officer (iMPROVE Project) 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. We may create a 12-month waiting list for same or similar roles within the Department/Faculty. The University reserves the right to extend the waiting list across the University if required for certain posts. – ABOUT YOU – The postholder will be required to have: – 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. Athena Swan Statement Ulster University holds a silver Athena SWAN Award in recognition of our commitment to advancing Gender equality. You can read more about what this means on our university 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: IrishJobs
Contact Detail:
IrishJobs 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 interviews or discussions.
✨Tip Number 2
Network with professionals in the field of data management and healthcare. Attend relevant conferences 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
Brush up on your data analysis skills, particularly in relation to healthcare data. Being able to discuss specific tools or methodologies you’ve used in past projects can set you apart from other candidates.
✨Tip Number 4
Prepare thoughtful questions about the role and the iMPROVE project for your interview. This shows your genuine interest and helps you assess if the position aligns with your career goals.
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 grasp the responsibilities and requirements of the Data Officer position. Highlight key skills such as data management, analysis, and project delivery in your application.
Tailor Your CV: Customise your CV to reflect your experience in data handling and project management. Use specific examples that demonstrate your ability to manage data systems and analyse complex datasets relevant to the iMPROVE project.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in computer science or data science with the objectives of the iMPROVE project. Emphasise your passion for improving healthcare through data management and your understanding of the project's goals.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role focused on data accuracy and compliance.
How to prepare for a job interview at IrishJobs
✨Understand the iMPROVE Project
Familiarise yourself with the iMPROVE project and its objectives. Knowing the specifics about how it aims to improve prescribing safety will help you demonstrate your genuine interest and understanding of the role.
✨Showcase Your Data Management Skills
Prepare examples from your past experiences that highlight your success in project data management. Be ready to discuss how you've tracked performance, managed data systems, and ensured compliance with legislative requirements.
✨Prepare for Technical Questions
Expect questions related to data handling skills, such as data collection, modelling, and quality assurance. Brush up on relevant technical knowledge and be prepared to explain your approach to analysing complex data sets.
✨Emphasise Team Collaboration
Since the role involves coordinating data activities, highlight your experience working in teams. Discuss how you’ve collaborated with others to achieve project goals and ensure successful outcomes.
