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- Tasks: Lead data management for clinical trials, ensuring accuracy and reliability.
- Company: Join a forward-thinking team at Regulatory Scientific and Health Solutions.
- Benefits: Enjoy remote work flexibility and competitive pay.
- Why this job: Make a real impact in healthcare while collaborating with diverse teams.
- Qualifications: Experience in clinical data management and excellent communication skills required.
- Other info: Ongoing contract with opportunities for growth and project variety.
The predicted salary is between 36000 - 60000 £ per year.
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Regulatory Scientific and Health Solutions Executive Director at Regulatory Scientific and Health Solutions Ongoing Project Based Home based / Remote Duration: Ongoing rolling contract with extensions dependent on project work Hours: Full time Wage: Competitive Job Description The Senior Clinical Data Manager joins a team that ensures clinical trials collect useful, accurate, and reliable information. This involves designing data collection tools and data interpretation methodology with care, as well as closely integrating with other clinical study management functions. Role Requirements Develop global Data Management Plans and Quality Management Plans to ensure the delivery of accurate, timely, consistent, and quality clinical data. Identify and implement solutions to project data management issues and concerns, including proactive prevention strategies based on metrics and forecasts. Serve as the project and client liaison, managing and providing project-specific data management status, cycle time, and productivity metrics. Coordinate and participate in the development of the clinical data model and/or database design, annotating the CRF (eCRF) according to these specifications. Review data acquisition conventions and data review guidelines/diagnostic specifications consistent with the clinical data model, [statistical] analysis plans, and CRF (eCRF) completion/monitoring conventions. Coordinate the development and testing of data management systems (edit/data validation checks, diagnostics) and special listings/procedures used as tools for data review and discrepancy management activities. Interact and collaborate with other project and specialty team members (clinical, programming, statistics, CDM technical support, drug safety, etc.) to support the set-up, maintenance, and closure of the data management aspects of the project to ensure consistent, cohesive data handling and quality. Perform advanced planning and risk management for projects (issue escalation, resource management), overseeing the technical performance of the data review project staff to achieve client satisfaction through delivery of quality data on-time and on-budget. Assist with goal creation and performance review assessment for data review project staff. Identify areas for process and efficiency improvement on assigned projects. Support the achievement of project revenue and operating margin for data management activities to agreed targets. Lead experience across a variety of therapeutic areas. EDC experience, ideally with RAVE, and experience with other EDCs would be advantageous. Excellent oral and written communication and presentation skills. In-depth knowledge of the clinical trial process and data management, clinical operations, biometrics, quality management, and systems applications to support operations. Working knowledge of the relationship and regulatory obligations between the CRO industry and pharmaceutical/biotechnological companies. Ability to lead teams on project strategies and the achievement of department goals, objectives, and initiatives by example, encouraging team members to seek solutions. Experience with non interventional studies and RWE studies. Experience with ePRO and eCOA with EDC. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Research, Analyst, and Information Technology Industries Research Referrals increase your chances of interviewing at Regulatory Scientific and Health Solutions by 2x Get notified about new Senior Clinical Data Manager jobs in United Kingdom . Reading, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago Senior Clinical Data Manager – UK/EU – Remote Reading, England, United Kingdom 2 weeks ago Senior Clinical Data Manager – single sponsor Associate Clinical Data Manager – Early Phase Trials Program Clinical Data Manager – UK/EU – Remote London, England, United Kingdom 1 week ago Clinical Data Management Resource Coordinator- Homebased, Europe. Reading, England, United Kingdom 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Senior Clinical Data Manager employer: Regulatory Scientific and Health Solutions
Contact Detail:
Regulatory Scientific and Health Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Clinical Data Manager
✨Tip Number 1
Network with professionals in the clinical data management field. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends and technologies that can enhance your expertise.
✨Tip Number 2
Familiarise yourself with various Electronic Data Capture (EDC) systems, especially RAVE, as well as other relevant tools. Highlighting your proficiency in these systems during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with global Data Management Plans and Quality Management Plans. Be ready to share specific examples of how you've successfully managed data quality and resolved issues in past projects.
✨Tip Number 4
Showcase your leadership skills by discussing how you've led teams in previous roles. Emphasise your ability to motivate team members and drive project success through effective communication and collaboration.
We think you need these skills to ace Senior Clinical Data Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Senior Clinical Data Manager position. Familiarise yourself with clinical data management processes and the specific skills mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in clinical data management, particularly focusing on your ability to develop Data Management Plans and your experience with EDC systems like RAVE. Use keywords from the job description to align your qualifications with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for clinical trials and data management. Mention specific projects where you successfully managed data quality and timelines, and explain how your skills can contribute to the company's goals.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Check for any grammatical errors or typos, as attention to detail is crucial in this field. Consider asking a colleague or friend to review your documents for additional feedback.
How to prepare for a job interview at Regulatory Scientific and Health Solutions
✨Understand the Clinical Trial Process
Make sure you have a solid grasp of the clinical trial process and data management. Be prepared to discuss your experience with various therapeutic areas and how you've contributed to successful trials in the past.
✨Showcase Your EDC Experience
Highlight your experience with Electronic Data Capture (EDC) systems, particularly RAVE. Be ready to explain how you've used these tools to enhance data quality and streamline processes in previous roles.
✨Demonstrate Leadership Skills
As a Senior Clinical Data Manager, you'll need to lead teams effectively. Share examples of how you've motivated team members, resolved conflicts, and driven projects to success while maintaining high standards.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify and implement solutions for data management issues. Think of specific instances where you've proactively addressed challenges and improved project outcomes.
