Clinical Data Manager

As a Clinical Data Manager at our company, your key responsibilities will include overseeing data management activities in clinical projects, ensuring accuracy in data collection forms, conducting quality control checks on databases, and actively participating in audits and training sessions. Your role will also involve communication with project teams and clients regarding clinical data management.

To apply for the Clinical Data Manager position in Oxford, candidates should have a college or university degree or an equivalent combination of education and experience. Additionally, at least 2 years of experience in a clinical or medical data environment, along with proficiency in clinical database systems like Clintrial, Medidata Rave, or Oracle InForm, are highly desirable.

Yes, the Clinical Data Manager role prefers candidates with experience in clinical database systems such as Clintrial, Medidata Rave, or Oracle InForm. Familiarity with these systems will enhance your ability to manage clinical data effectively and contribute to the success of our projects.

A Clinical Data Manager at our company will receive comprehensive training, including project-specific training for clinical teams and investigators in CRF completion. This training ensures that you are well-equipped to handle data management processes and maintain high standards of data quality.

The career growth potential for a Clinical Data Manager in our organization is significant. We encourage skills development and career advancement within clinical research, providing opportunities to take on more complex projects and leadership roles as you gain experience and expertise.

When answering, detail any specific systems you’ve used, your level of proficiency, and how you used those systems to enhance data management processes. Provide examples of how you've navigated data challenges and improved efficiencies.

Discuss your approach to quality control and the steps you take to validate and verify data. Mention techniques you use for checklist analysis, data reconciliation, and how you handle discrepancies to maintain high standards.

Provide a specific example that outlines your organizational skills and time management strategies. Explain how you prioritized tasks, communicated with stakeholders, and delivered results under pressure.

Share any experience you have in training or mentoring roles. Emphasize your communication skills, the training methods you employed, and how the results have benefited the team or project outcomes.

Discuss your openness to constructive criticism and how you take actionable steps to implement changes based on audit findings. Give examples of a situation where you successfully addressed issues raised during an audit.

Explain the importance of precision in data management and how it impacts patient safety and trial validity. Share your strategies for maintaining attention to detail in your daily work.

Talk about your commitment to continuous learning through research, attending conferences, or participating in professional organizations. Mention any specific resources you follow for the latest developments in the field.

Emphasize the importance of clear communication channels and proactive updates. Describe your approach to ensure everyone's on the same page and how you effectively relay key information.

Share the qualities you believe are essential for success in this role, such as analytical skills, adaptability, communication abilities, and the desire to collaborate effectively with team members and stakeholders.

Identify common challenges such as data discrepancies, tight deadlines, and evolving regulations. Describe your problem-solving approach and give examples of how you have successfully navigated these challenges in the past.