At a Glance
- Tasks: Manage data strategies, generate reports, and ensure quality in clinical projects.
- Company: Join a leading life sciences company dedicated to innovative research and development.
- Benefits: Enjoy flexible working options and a supportive team environment.
- Why this job: Be part of impactful projects that enhance healthcare through data management.
- Qualifications: Bachelor's in Mathematics or related field; experience in clinical trials required.
- Other info: Email your CV to cv@life-science.co.uk to apply!
The predicted salary is between 36000 - 60000 £ per year.
Collaborate with the project team on the overall data management strategy for the program or project to ensure overall quality and efficiency.
Develop, generate and analyze project progress and/or metrics reports and report findings and corrective actions as required.
Lead the development of CRF specifications, validate them, and conduct editorial reviews of the electronic data collecting tools utilized in each project.
Conduct peer reviews of key DM research documents or other DM outputs to ensure content quality and, where appropriate, consistency across research programs.
Interact with all project team members and external data suppliers when working in cross-functional teams.
Key Requirements:
- Bachelor's degree in Mathematics or a closely related field.
- Have knowledge of database structure and data management techniques.
- Experience in clinical trials in a comparable capacity.
- Demonstrated ability to oversee the autonomous completion of several projects or programs using comprehensive data management research life cycles.
Please feel free to email your CV at cv@life-science.co.uk.
Clinical Data Manager – United Kingdom employer: Resourcing Life Science
Contact Detail:
Resourcing Life Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Manager – United Kingdom
✨Tip Number 1
Familiarise yourself with the latest data management tools and software used in clinical trials. Being well-versed in these technologies will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the clinical data management field. Attend industry conferences or webinars, and connect with people on platforms like LinkedIn. This can lead to valuable insights and potential referrals for job openings.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed data in previous roles. Highlight your experience with CRF specifications and any metrics reporting you've done, as this will show your practical knowledge during interviews.
✨Tip Number 4
Research StudySmarter's projects and values before your interview. Understanding our mission and how you can contribute will help you tailor your responses and demonstrate your enthusiasm for joining our team.
We think you need these skills to ace Clinical Data Manager – United Kingdom
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of a Clinical Data Manager. Tailor your application to highlight relevant experiences that align with these expectations.
Highlight Relevant Experience: Emphasise your experience in clinical trials and data management techniques. Provide specific examples of projects you've overseen, focusing on your role in ensuring data quality and efficiency.
Craft a Strong CV: Ensure your CV is up-to-date and clearly outlines your educational background, particularly your degree in Mathematics or related fields. Include any certifications or training relevant to data management and clinical trials.
Personalise Your Cover Letter: Write a cover letter that reflects your enthusiasm for the position and the company. Mention how your skills and experiences make you a perfect fit for the role, and express your eagerness to contribute to the project team's success.
How to prepare for a job interview at Resourcing Life Science
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Clinical Data Manager. Familiarise yourself with data management strategies, CRF specifications, and the importance of quality in clinical trials.
✨Showcase Your Experience
Prepare to discuss your previous experience in clinical trials and data management. Highlight specific projects where you successfully managed data and any challenges you overcame.
✨Demonstrate Team Collaboration
Since the role involves interacting with project teams and external suppliers, be ready to share examples of how you've effectively collaborated in cross-functional teams. Emphasise your communication skills and ability to work with diverse groups.
✨Prepare for Technical Questions
Expect questions about database structures and data management techniques. Brush up on relevant terminology and be prepared to discuss how you would approach data quality and efficiency in your work.