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- Tasks: Lead research data management and prepare datasets for healthcare analyses.
- Company: Join a dynamic team at Manchester Science Park, part of a leading University.
- Benefits: Enjoy hybrid working, generous leave, and a fantastic pension scheme.
- Why this job: Make an impact in healthcare research while developing your data skills in a supportive environment.
- Qualifications: Experience with statistical languages and large datasets is essential; strong communication skills are a must.
- Other info: Open to all applicants; flexible working options available.
The predicted salary is between 36924 - 45163 £ per year.
The Association seeks to appoint a Research Data Manager to manage and lead research data management requirements. You will be fully conversant with current research data management practices and act as primary contact for researchers and facilitating access to data for external research groups. The post holder will have an interest in healthcare data analyses ideally with some awareness of pharmacoepidemiology or other related research. You will take overall responsibility for enabling data from the department study to be used effectively for research. This will include preparing datasets tailored for specific research questions. The post holder will be expected to maintain excellent governance standards and appropriately document decisions taken during dataset building and data sharing. The post will be based on Manchester Science Park, a short distance from the main University campus and is suitable for Hybrid Working. The post is available full time for immediate start until 31/07/2026.
Essential skills:
- Knowledge and experience of using any statistical language such as Stata, SPSS, Python statistical packages
- Experience of ETL (Extract, Transform and Load) and working with large datasets and databases
- Experience of understanding scientific/health literature
- Experience of data management, including preparation of data extracts
- Experience of assessing the completeness and quality of data
- Understanding of the key issues and principles of Research Data Management
- Understanding of the principles of data anonymisation
- Excellent communication skills in English, including explaining data analyses and/or scientific processes to peer and lay audience
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunity employer, we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. Our University is positive about flexible working. Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any CVs submitted by a recruitment agency will be considered a gift. Please click APPLY to be redirected to our website to complete an application form.
Research Data Manager employer: BluetownOnline
Contact Detail:
BluetownOnline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Data Manager
✨Tip Number 1
Familiarise yourself with the latest research data management practices. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your knowledge and enthusiasm for the position.
✨Tip Number 2
Network with professionals in the field of healthcare data analysis. Attend relevant workshops or webinars, and connect with individuals on platforms like LinkedIn. This can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your skills in statistical languages such as Python or SPSS. Consider taking online courses or working on personal projects that involve data management and analysis to demonstrate your capabilities.
✨Tip Number 4
Prepare to discuss your experience with ETL processes and large datasets. Be ready to share specific examples of how you've managed data quality and governance in previous roles, as this will be crucial for the Research Data Manager position.
We think you need these skills to ace Research Data Manager
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Research Data Manager position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with statistical languages, data management, and ETL processes. Provide specific examples of projects where you successfully managed large datasets or conducted healthcare data analyses.
Showcase Communication Skills: Since excellent communication skills are essential for this role, include examples of how you've effectively communicated complex data analyses to both technical and non-technical audiences in your application.
Prepare a Strong Cover Letter: Craft a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the organisation. Mention your understanding of research data management principles and your commitment to maintaining high governance standards.
How to prepare for a job interview at BluetownOnline
✨Showcase Your Technical Skills
Make sure to highlight your experience with statistical languages like Stata, SPSS, or Python during the interview. Be prepared to discuss specific projects where you used these tools, as this will demonstrate your capability in handling large datasets and performing data analyses.
✨Understand Research Data Management Principles
Familiarise yourself with the key issues and principles of Research Data Management. Be ready to explain how you would ensure data governance and quality, as well as your approach to data anonymisation, which is crucial for this role.
✨Communicate Clearly
Excellent communication skills are essential for this position. Practice explaining complex data analyses and scientific processes in simple terms, as you may need to convey this information to both peers and a lay audience.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in data management. Think about past experiences where you had to prepare datasets for specific research questions or assess data completeness and quality, and be ready to share those examples.
