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- Tasks: Review clinical data from trials and develop review guidelines.
- Company: Leading clinical research organisation with a focus on innovation.
- Benefits: Flexible schedule, competitive pay, and structured career path.
- Why this job: Make a difference in oncology while enjoying a supportive work environment.
- Qualifications: Bachelor’s in Nursing and previous nursing experience, preferably in Oncology.
- Other info: Great opportunity for career growth in a dynamic field.
The predicted salary is between 36000 - 60000 £ per year.
A leading clinical research organization is seeking a full-time Clinical Data Reviewer in Greater London. This role requires a Bachelor’s in Nursing and involves the comprehensive manual review of clinical data from trials, developing review guidelines, and interfacing with the Data Management team.
Ideal candidates should have previous nursing expertise, preferably in Oncology. Join us for a structured career path, competitive compensation, and a flexible work environment.
Oncology Clinical Data Reviewer (Nursing) Flexible Schedule employer: Medpace
Contact Detail:
Medpace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oncology Clinical Data Reviewer (Nursing) Flexible Schedule
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical research field, especially those with oncology experience. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your clinical data review skills. Familiarise yourself with common oncology trials and data management processes. We want you to shine when discussing your nursing expertise!
✨Tip Number 3
Don’t just apply anywhere; focus on organisations that align with your career goals. Check out our website for roles that match your skills and interests. We’ve got some great opportunities waiting for you!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind for hiring managers. It shows your enthusiasm for the role and reinforces your interest in joining their team.
We think you need these skills to ace Oncology Clinical Data Reviewer (Nursing) Flexible Schedule
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your nursing background and any relevant oncology experience. We want to see how your skills match the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical data review and how your previous roles have prepared you for this position. Let us know what excites you about working with us!
Showcase Your Attention to Detail: As a Clinical Data Reviewer, attention to detail is key. In your application, mention specific examples where your meticulous nature made a difference in your work. We love candidates who can demonstrate this skill!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get you on the path to joining our team!
How to prepare for a job interview at Medpace
✨Know Your Oncology Basics
Brush up on your oncology knowledge before the interview. Be prepared to discuss specific nursing practices related to cancer care and how they apply to clinical data review. This will show your expertise and passion for the field.
✨Familiarise Yourself with Clinical Data Processes
Understand the basics of clinical data management and the role of a Clinical Data Reviewer. Knowing how data is collected, managed, and reviewed will help you answer questions confidently and demonstrate your readiness for the role.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company’s approach to clinical trials and data management. This not only shows your interest in the position but also helps you gauge if the company aligns with your career goals.
✨Highlight Your Nursing Experience
Be ready to share specific examples from your nursing background, especially in oncology. Discuss how your experience can contribute to developing review guidelines and collaborating with the Data Management team effectively.
