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- Tasks: Oversee data management activities in large, complex clinical studies.
- Company: Join a global leader in medical science, dedicated to improving lives since 1995.
- Benefits: Enjoy career growth, training opportunities, and a supportive work culture.
- Why this job: Make a real impact in healthcare while developing your skills in a dynamic environment.
- Qualifications: Degree or equivalent experience in data management; familiarity with EDC systems preferred.
- Other info: Be part of a passionate team of over 2,700 individuals making a difference.
The predicted salary is between 48000 - 72000 £ per year.
We are the company that cares – for our staff, for our clients, for our partners and for the quality of the work we do. A dynamic, global company founded in 1995, we bring together more than 2,700 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.
The Senior Data Manager will be responsible for oversight of all data management activities in large, complex studies.
Communication- Provide general oversight on all Data Management activities on large complex global studies.
- Communication line for clients/vendors for all data management aspects of clinical projects and clinical data management reporting.
- Coordination of data management activities within clinical projects related to EDC development, data collection, cleaning, reconciliation, Database Lock, development of final integrated database and generation of final Data Management deliverables.
- Primary responsibility for clinical data management activities within clinical projects, including, but not limited to:
- Reviews and approvals, escalation point and troubleshooting.
- Involved in audits and inspections.
- Supporting with SOP development and process improvements.
- Provide input into Proposals, Budgets and Bid Defense meetings.
- Database QC checks performance and documentation.
- Shared responsibility for preparation and attendance at internal and client/third-party audits/inspections of Data Management.
- Shared responsibility for follow-up on and resolution of audit findings pertaining to Data Management.
- Training junior members of the team.
- Project-specific training of investigators and clinical team in CRF completion.
- College or University degree or equivalent combination of training and experience that presents the required knowledge, skills and abilities.
- Significant experience of full scope of data management responsibilities in international EDC studies.
- Experience using CDM/EDC systems (Medidata Rave or Oracle Inform preferable).
- Organizational and managerial skills.
Advance your career in clinical research and develop new skillsets whilst growing with the organization.
Senior Data Manager employer: Psi Cro Uk Ltd
Contact Detail:
Psi Cro Uk Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Manager
✨Tip Number 1
Familiarise yourself with the specific EDC systems mentioned in the job description, such as Medidata Rave or Oracle Inform. Having hands-on experience or even completing online courses related to these platforms can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the clinical data management field. Attend industry conferences or webinars where you can meet current employees of StudySmarter or similar companies. This can provide you with insider knowledge and potentially a referral.
✨Tip Number 3
Prepare to discuss your experience with audits and inspections in detail. Since this role involves shared responsibility for audit preparation, showcasing your past experiences and how you handled challenges will demonstrate your capability.
✨Tip Number 4
Highlight your leadership skills and experience in training junior team members. The role requires mentoring others, so be ready to share examples of how you've successfully trained or led teams in previous positions.
We think you need these skills to ace Senior Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, particularly in clinical projects. Emphasise your familiarity with EDC systems like Medidata Rave or Oracle Inform, and showcase any managerial skills you possess.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for the role and the company. Mention specific experiences that align with the responsibilities of the Senior Data Manager position, such as oversight of data management activities and quality control.
Highlight Relevant Qualifications: In your application, clearly outline your educational background and any additional training related to data management. Include any certifications or courses that demonstrate your commitment to professional development in this field.
Showcase Communication Skills: Since the role involves communication with clients and vendors, provide examples of how you've successfully managed stakeholder relationships in previous roles. This could include instances where you resolved issues or improved processes through effective communication.
How to prepare for a job interview at Psi Cro Uk Ltd
✨Showcase Your Data Management Expertise
Be prepared to discuss your previous experience in data management, especially in large, complex studies. Highlight specific projects where you oversaw data management activities and how you ensured quality and compliance.
✨Demonstrate Communication Skills
Since the role involves liaising with clients and vendors, practice articulating your thoughts clearly. Prepare examples of how you've effectively communicated complex data management issues to non-technical stakeholders.
✨Familiarise Yourself with EDC Systems
Brush up on your knowledge of CDM/EDC systems like Medidata Rave or Oracle Inform. Be ready to discuss how you've used these systems in past roles and any challenges you faced while using them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you had to troubleshoot data discrepancies or manage audits, and be ready to explain your approach and the outcomes.
