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- Tasks: Manage clinical data for research studies and ensure high-quality data collection.
- Company: Join a leading clinical affairs team focused on impactful research.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a difference in clinical research and contribute to life-changing outcomes.
- Qualifications: Degree in relevant field and experience in clinical data management.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 40000 - 50000 £ per year.
We are looking for an experienced Clinical Data Manager to join our Clinical Affairs team. In this role, you will support all data management activities for clinical research studies, working collaboratively with cross‑functional teams from study design through to database closure and study close‑out. You will play a key role in ensuring that clinical study data is collected, managed, and validated to the highest standards, in line with internal SOPs and global regulatory requirements. Your work will directly support high‑quality statistical analysis and robust clinical outcomes.
Key Responsibilities
- Support end‑to‑end clinical data management activities across multiple research studies
- Review study protocols and contribute to data collection strategy and study design
- Design and develop high‑quality Case Report Forms (CRFs) aligned to protocol requirements
- Develop database specifications, edit check specifications, and Data Management Plans
- Perform User Acceptance Testing (UAT) to ensure database quality and integrity
- Conduct ongoing data review, query generation and resolution, including third‑party data reconciliation
- Identify data trends, protocol deviations, and adverse events, escalating issues appropriately
- Generate study reports and provide data insights to study teams
- Maintain accurate and compliant study documentation within the electronic Trial Master File (eTMF)
- Support monitoring activities and assist Clinical Research Associates as required
- Contribute to the development of data management SOPs, work instructions, and standards
- Train internal and external stakeholders on data management systems and processes
- Participate in project and functional meetings and support audit readiness activities
- Provide mentoring or coaching to junior data management team members where required
About You
- Degree in Mathematics, Computer Science, Life Sciences, or equivalent relevant experience
- Proven experience supporting clinical research studies within data management, analytics, or reporting
- Strong understanding of database design, data structures, and clinical trial processes
- Experience using Electronic Data Capture (EDC) systems (e.g. Medidata RAVE, Oracle Clinical, Veeva, OpenClinica, Medrio)
- Knowledge of clinical data reporting tools (e.g. JReview)
- Understanding of ICH, ISO, GCP, and GDP guidelines
- Highly organised, with the ability to manage multiple priorities simultaneously
- Strong analytical, problem‑solving, and communication skills
- Comfortable working independently and within cross‑functional, matrixed teams
- Proficient in Microsoft Office tools, including Excel, Word, PowerPoint, Visio, Outlook, and Teams
Desirable
- Experience with adverse event (AE) coding
- Basic knowledge of SQL
- Basic understanding of SAS concepts
Data Manager in Renfrew employer: Terumo Aortic
Contact Detail:
Terumo Aortic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager in Renfrew
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical research field and let them know you're on the hunt for a Data Manager role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of data management systems and clinical trial processes. Be ready to discuss your experience with EDC systems and how you've contributed to high-quality data collection in past roles.
✨Tip Number 3
Showcase your analytical skills! During interviews, share specific examples of how you've identified data trends or resolved issues in previous studies. This will demonstrate your problem-solving abilities and your commitment to maintaining data integrity.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to highlight your fit for the role directly in your application.
We think you need these skills to ace Data Manager in Renfrew
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Manager role. Highlight your experience in clinical data management and any relevant skills that match the job description. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about clinical research and how your skills can contribute to our team. Keep it engaging and relevant to the role.
Showcase Your Technical Skills: Don’t forget to mention your experience with EDC systems and data reporting tools. We’re looking for someone who knows their way around databases, so make sure to highlight any relevant technical expertise you have!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Terumo Aortic
✨Know Your Data Management Stuff
Make sure you brush up on your knowledge of clinical data management processes and tools. Familiarise yourself with Electronic Data Capture (EDC) systems like Medidata RAVE or Oracle Clinical, as well as the relevant guidelines like ICH and GCP. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Prepare for Scenario Questions
Expect to be asked about specific scenarios related to data management, such as how you would handle a protocol deviation or an adverse event. Think through your past experiences and prepare examples that highlight your problem-solving skills and ability to work collaboratively with cross-functional teams.
✨Showcase Your Analytical Skills
As a Data Manager, strong analytical skills are crucial. Be prepared to discuss how you've used data to generate insights in previous roles. You might even want to bring along a sample report or two to demonstrate your experience with data analysis and reporting tools.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they ensure compliance with regulatory requirements. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.