Clinical Data Manager

Clinical Data Manager

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
Pop Science

At a Glance

  • Tasks: Manage clinical data for innovative trials and ensure data integrity and compliance.
  • Company: Join Coronado Research, a leader in advancing pharmaceutical research.
  • Benefits: Competitive salary, professional development, and a collaborative work environment.
  • Why this job: Be at the forefront of precision medicine and make a real impact in healthcare.
  • Qualifications: Bachelor's in Life Sciences and experience in clinical data management required.
  • Other info: Dynamic role with opportunities to innovate and grow in the biotech field.

The predicted salary is between 36000 - 60000 ÂŁ per year.

We are delighted to be recruiting a Clinical Data Manager to join our team at Coronado Research, working with Jo Marshall and our Data Science and Advanced Analytics team. Coronado Research is a consultancy‑led, professional services organisation, which provides support to pharmaceutical, biotechnology, and medical device companies. As science changes, we are seeing the traditional clinical development model being replaced by a more targeted, precision‑based approach. The introduction of new technologies, including tools leveraging Artificial Intelligence (AI) and Machine Learning, and novel methodologies is leading to a changed research paradigm. At Coronado Research, we are dedicated to advancing pharmaceutical research through cutting‑edge clinical trials, providing expert‑driven advice and support.

We are seeking a proactive and resourceful Clinical Data Manager to support data management activities for a variety of different clinical development programs. This role is pivotal in ensuring the integrity, quality and timeliness of clinical trial data while maintaining compliance with industry regulations. The Clinical Data Manager will support all DM activities through trial set up, conduct and lock, working with cross‑functional stakeholders to ensure seamless collaboration and data accuracy.

Key Responsibilities
  • Conduct all clinical data management activities, including data collection, validation, cleaning, medical coding and reconciliation processes.
  • Contribute to the design, development, and review of Case Report Forms, Data Management and Data Review Plans and other study set up activities.
  • Take responsibility for the execution of data validation activities to ensure data consistency, accuracy, and completeness, EDC checks, data lists and other data review tools to ensure data integrity.
  • Manage receipt and reconciliation of external data, ensuring deliverables meet quality, regulatory, and timeline expectations.
  • Troubleshoot data‑related issues and provide hands‑on support to internal and external stakeholders.
  • Work closely with clinical operations, biostatistics, and programming teams to align data management activities with overall study objectives.
  • Ensure that documentation required to demonstrate regulatory compliance are maintained accurately.
  • Ensure adherence to Good Clinical Practice (GCP), ICH guidelines, and regulatory requirements (FDA, EMA).
  • Participate in data review meetings, contribute to database lock, and support clinical study report preparation.
  • Stay up to date with emerging trends and best practices in clinical data management.
Skills and Experience Required
  • Bachelor's degree in Life Sciences, Biotechnology, or a related field.
  • Proven experience in clinical data management within a biotech, pharmaceutical, or CRO environment.
  • Hands-on expertise with key clinical data management systems.
  • Knowledge of Good Clinical Practice (GCP), ICH guidelines, and global clinical trial regulations.
  • Excellent logical, analytical and problem‑solving skills with a creative and curious approach to help drive innovation.

Clinical Data Manager employer: Pop Science

At Coronado Research, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous training opportunities and exposure to cutting-edge technologies in the pharmaceutical research sector. Located in a vibrant area, we offer a supportive environment where your contributions directly impact the advancement of clinical trials and patient outcomes.
Pop Science

Contact Detail:

Pop Science Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Clinical Data Manager

✨Tip Number 1

Network like a pro! Reach out to professionals in the clinical data management field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your previous projects and successes in data management. This will give potential employers a clear picture of what you can bring to their team.

✨Tip Number 3

Practice makes perfect! Get ready for interviews by rehearsing common questions related to clinical data management. Think about how you can demonstrate your problem-solving skills and experience with compliance.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for passionate Clinical Data Managers. Your next big opportunity could be just a click away!

We think you need these skills to ace Clinical Data Manager

Clinical Data Management
Data Collection
Data Validation
Data Cleaning
Medical Coding
Regulatory Compliance
Good Clinical Practice (GCP)
ICH Guidelines
Problem-Solving Skills
Cross-Functional Collaboration
Data Review
Clinical Trial Regulations
Analytical Skills
Attention to Detail
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Clinical Data Manager role. Highlight your experience in clinical data management and any relevant skills that match the job description. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about advancing pharmaceutical research and how you can contribute to our team. Keep it concise but impactful, and don’t forget to mention your familiarity with GCP and ICH guidelines.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data-related issues in the past. We love proactive and resourceful candidates, so share specific instances where your analytical skills made a difference in a project.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come through our own platform!

How to prepare for a job interview at Pop Science

✨Know Your Data Management Stuff

Make sure you brush up on your clinical data management knowledge. Understand the key responsibilities of the role, like data validation and compliance with GCP and ICH guidelines. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the concepts but have actually applied them.

✨Show Off Your Problem-Solving Skills

Prepare to share instances where you've tackled data-related issues in previous roles. Think about challenges you faced and how you resolved them. This will demonstrate your analytical skills and your proactive approach, which are crucial for a Clinical Data Manager.

✨Familiarise Yourself with Emerging Trends

Stay updated on the latest technologies and methodologies in clinical data management, especially those involving AI and Machine Learning. Being able to discuss how these innovations can impact the research paradigm will impress your interviewers and show your commitment to advancing pharmaceutical research.

✨Practice Cross-Functional Collaboration

Since this role involves working closely with various teams, think about how you’ve successfully collaborated in the past. Be ready to discuss how you communicate and coordinate with different stakeholders to ensure data accuracy and project success. This will highlight your teamwork skills and adaptability.

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