At a Glance
- Tasks: Review medical data, identify errors, and ensure data quality for clinical trials.
- Company: ICON plc is a leading healthcare intelligence and clinical research organisation dedicated to improving lives.
- Benefits: Enjoy competitive pay, flexible work options, and comprehensive employee benefits tailored for your career.
- Why this job: Join a mission-driven team focused on saving lives and enhancing drug development with a supportive culture.
- Qualifications: Advanced scientific degree preferred; 5+ years in clinical data review, especially in oncology.
- Other info: ICON values diversity and encourages all qualified applicants to apply, regardless of background.
The predicted salary is between 36000 - 60000 £ per year.
ICON plc is a world-leading healthcare intelligence and clinical research organisation. From molecule to medicine, we advance clinical research providing outsourced services to pharmaceutical, biotechnology, medical device and government and public health organisations. With our patients at the centre of all that we do, we help to accelerate the development of drugs and devices that save lives and improve quality of life. Our people are our greatest strength, are at the core of our culture, and the driving force behind our success. ICON people have a mission to succeed and a passion that ensures what we do, we do well.
What you will be doing:
- Serve as a Medical Data Reviewer and identify any errors in data by performing data review that require further clarification with the study sites
- Perform ongoing review of clinical/medical aspects of assigned patient data and documents
- Communicates any data training needs for CRAs, sites, etc
- Conduct in-stream data trend analysis in support of data quality and integrity (includes protocol compliance and targeted review of patient data)
- Provide clinical data Project Management and viewed as an expert in data clinical/medical review and cleaning.
- Ensure data quality focus to audit readiness with Clinical Compliance and Systems Validation
- May assist in review and contribute to data capture requirements guidance in line with protocol and reporting requirements.
- May be closely involved in data review and identification of readiness for clinical narratives for CSRs
- May participate in clinical data review meetings such as:
o Protocol Deviation review
o Data Review and Quality Team (DRQT)
o Statistical Review of Clinical Data (SRCD)
o Safety Monitoring Team (SMT) review
o Slide preparation of top-line results
You are:
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Advanced scientific or medical degree (e.g., MD) strongly preferred.
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Minimum of 5 years\’ experience in clinical and medical data review within the pharmaceutical industry; 8+ years preferred, with demonstrated expertise in clinical data cross-checks and quality oversight.
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Prior experience in solid tumor oncology therapeutic area is highly desirable.
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Proficient in the use of clinical data tools and platforms, including Medidata, JReview, and MS Excel.
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Strong knowledge of clinical coding standards, with experience in coding review and query management; prior training in query writing is an asset.
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Demonstrated ability to navigate and manage clinical databases efficiently.
- Solid understanding of Good Clinical Practice (GCP), clinical trial design principles, and the broader drug development lifecycle.
- Exceptional written and verbal communication skills in English; proven ability to manage timelines, prioritize tasks, and operate effectively in cross-functional, fast-paced environments.
Why ICON?
Our focus is to provide you with a comprehensive and competitive total reward package that comprises, not only an excellent level of base pay, but also a wide range of variable pay and recognition programs. In addition, our best in class employee benefits, supportive policies and wellbeing initiatives are tailored to support you and your family at all stages of your career – both now, and into the future.
Our success depends on the knowledge, capabilities and quality of our people. That’s why we are committed to developing our employees in a continuous learning culture – one where we challenge you with engaging work and where every experience adds to your professional development.
ICON, including subsidiaries, is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know.
Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.
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Medical Data Reviewer (Client dedicated) employer: ICON
Contact Detail:
ICON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical Data Reviewer (Client dedicated)
✨Tip Number 1
Familiarise yourself with the specific clinical data tools mentioned in the job description, such as Medidata and JReview. Having hands-on experience or even completing online tutorials can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the pharmaceutical industry, especially those who have experience in medical data review. Attend relevant conferences or webinars to connect with potential colleagues and learn more about the latest trends in clinical data management.
✨Tip Number 3
Brush up on your knowledge of Good Clinical Practice (GCP) and clinical trial design principles. Being able to discuss these topics confidently will demonstrate your expertise and commitment to quality in clinical research.
✨Tip Number 4
Prepare for potential interview questions by reviewing common scenarios related to data quality and integrity. Think of examples from your past experience where you successfully identified and resolved data discrepancies, as this will showcase your problem-solving skills.
We think you need these skills to ace Medical Data Reviewer (Client dedicated)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in clinical and medical data review. Emphasise any specific roles or projects that align with the responsibilities of a Medical Data Reviewer at ICON plc.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for clinical research and your understanding of the pharmaceutical industry. Mention your advanced scientific or medical degree and how your experience aligns with the job requirements.
Highlight Relevant Skills: In your application, clearly outline your proficiency in clinical data tools and platforms, as well as your knowledge of Good Clinical Practice (GCP). This will demonstrate your capability to perform the role effectively.
Showcase Communication Skills: Since exceptional written and verbal communication skills are crucial for this role, ensure your application is well-written and free of errors. You might also want to provide examples of how you've successfully communicated complex information in previous roles.
How to prepare for a job interview at ICON
✨Showcase Your Expertise
Make sure to highlight your advanced scientific or medical degree and relevant experience in clinical data review. Be prepared to discuss specific examples from your past roles, especially those related to solid tumour oncology, as this is highly desirable for the position.
✨Demonstrate Communication Skills
Since exceptional written and verbal communication skills are crucial, practice articulating your thoughts clearly. You might be asked to explain complex data findings, so consider how you would present these to both technical and non-technical audiences.
✨Familiarise Yourself with Tools
Brush up on your knowledge of clinical data tools and platforms like Medidata and JReview. Being able to discuss your proficiency with these tools will show that you are ready to hit the ground running.
✨Understand GCP and Clinical Trial Design
Have a solid understanding of Good Clinical Practice (GCP) and clinical trial design principles. Be prepared to answer questions about how these concepts apply to data quality and integrity, as they are key components of the role.