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- Tasks: Review clinical data, ensure accuracy, and identify trends for patient safety.
- Company: Join a supportive global pharmaceutical company with a strong reputation.
- Benefits: Fully remote work with competitive pay of £18-19 per hour.
- Why this job: Make a real impact on patient safety while working in a dynamic environment.
- Qualifications: Experience in clinical data review and a scientific background are essential.
- Other info: This is a 6-month contract role with opportunities for growth.
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CPL Life Sciences is working with a well-established, supportive global pharmaceutical company seeking aClinical Scientific Expertto support their Clinical Data team across all phases of clinical trials on an interim basis due to increased workload. This role is focused on clinical data review, ensuring data accuracy, scientific plausibility, and identifying trends to support decision-making and patient safety.
- 6 month contract
- Fully remote
- £18-19 per hour (PAYE)
Key Responsibilities:
- Perform in-depth patient-level clinical data review and trend analysis to ensure data quality and scientific integrity
- Support key milestones, including Interim Analyses, Database Lock, and Post-Lock activities
- Identify data discrepancies and assess clinical plausibility, escalating issues as needed
- Contribute to the development and improvement of data review strategies and processes
- Ensure adherence to study protocols and Good Clinical Practice (GCP) guidelines
- Identify and escalate subjects or data requiring medical review
- Collaborate with Pharmacovigilance teams and participate in safety monitoring meetings
- Assist in creating clinical sections of study-level and regulatory documents
- Present findings and updates at study meetings
- Use clinical data systems and tools for data collection, validation, analysis, and reporting
Requirements:
- Proven experience in clinical data review or analysis
- Scientific background
- Good understanding of clinical trial processes, GCP, and regulatory standards
- Familiarity with data management systems and reporting tools
- Excellent communication and issue-resolution skills
- Detail-oriented, with a focus on data quality and patient safety
If you have a background in clinical data analysis and scientific plausibility, apply now or send your CV for more information.
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Clinical Scientific Expert employer: CPL
Contact Detail:
CPL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Scientific Expert
✨Tip Number 1
Network with professionals in the clinical data field. Join relevant online forums or LinkedIn groups where you can connect with others who work in clinical trials. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in clinical data management. Being knowledgeable about current tools and methodologies can set you apart during discussions with potential employers.
✨Tip Number 3
Prepare to discuss specific examples from your past experience that demonstrate your ability to ensure data accuracy and scientific integrity. Highlighting your problem-solving skills in real scenarios can make a strong impression.
✨Tip Number 4
Stay updated on Good Clinical Practice (GCP) guidelines and regulatory standards. Showing that you are well-versed in these areas will reassure employers of your commitment to quality and compliance in clinical trials.
We think you need these skills to ace Clinical Scientific Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in clinical data review and analysis. Emphasise your understanding of clinical trial processes, GCP, and any familiarity with data management systems.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the key responsibilities mentioned in the job description. Explain how your background aligns with the role and demonstrate your passion for ensuring data quality and patient safety.
Highlight Relevant Skills: In your application, clearly outline your communication and issue-resolution skills. Provide examples of how you've successfully identified data discrepancies or contributed to data review strategies in previous roles.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial for a role focused on data accuracy and scientific integrity.
How to prepare for a job interview at CPL
✨Know Your Clinical Data
Make sure you brush up on your knowledge of clinical data review processes. Be prepared to discuss specific examples from your past experience where you ensured data accuracy and identified trends, as this will demonstrate your expertise in the field.
✨Understand GCP and Regulatory Standards
Familiarise yourself with Good Clinical Practice (GCP) guidelines and relevant regulatory standards. During the interview, be ready to explain how you have adhered to these standards in previous roles, as this is crucial for the position.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to handle discrepancies in data. Think of situations where you had to escalate issues or collaborate with other teams, and be ready to share those experiences.
✨Showcase Your Communication Skills
Since the role involves presenting findings and collaborating with various teams, highlight your communication skills. Prepare to discuss how you effectively convey complex information to different stakeholders, ensuring clarity and understanding.
