At a Glance
- Tasks: Lead global clinical trials and ensure data quality and compliance.
- Company: Join IQVIA, a leader in data-driven healthcare innovation.
- Benefits: Fully remote work, competitive salary, and career growth opportunities.
- Other info: Inclusive culture focused on collaboration and innovation.
- Why this job: Make a real impact in healthcare by managing complex data projects.
- Qualifications: 10+ years in clinical data management with strong leadership skills.
The predicted salary is between 54000 - 66000 £ per year.
IQVIA is growing! Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models.
Apply now and have your resume considered for Lead Data Manager opportunities across multiple teams - allowing us to match you with the best-fit project and client environment for your experience and interests!
IQVIA is seeking experienced Clinical Data Management Leads to oversee end-to-end data management delivery for global clinical trials. You’ll ensure quality, accuracy, and compliance while leading cross-functional teams that help bring new therapies to life.
This is a remote/WFH position with all necessary equipment provided.
What You’ll Do- Lead data management for complex, global clinical trials from study setup to database lock.
- Serve as the main client contact for all data management deliverables.
- Oversee SAE, PK, and external data reconciliation and database deployment.
- Manage timelines, budgets, and resource allocation to meet customer expectations.
- Mentor junior data management staff and promote best practices.
- Drive process improvements and ensure regulatory and SOP compliance.
- Bachelor’s degree in life sciences, health, clinical, biological, or mathematical field.
- No less than 10 years of direct clinical data management experience, with 5+ years in a Lead Clinical Data Management role.
- Your previous roles/job titles may include Clinical Data Manager, Senior Clinical Data Manager, Lead Data Manager, Principal Data Manager, and/or Data Management Project Manager.
- Proven success managing large global studies (1000+ patients).
- Expertise with Medidata Rave, Oracle InForm, or similar EDC systems.
- Strong understanding of GCP, ICH, and clinical research processes.
- Excellent communication and leadership skills.
- Fully remote role – company equipment provided
- Competitive salary and performance-based incentives
- Career growth and learning opportunities through mentoring and internal mobility
- Inclusive, global culture focused on innovation and collaboration
- Recruiter video chat (20 min)
- Hiring manager interview (1 hour, MS Teams - Offer decisions are typically made within one or two weeks of the final interview.)
Apply now to join IQVIA, where your expertise shapes the future of data-driven healthcare!
Data Team Lead employer: IQVIA LLC
IQVIA LLC is an exceptional employer located in the vibrant town of Livingston, Scotland, offering a dynamic work culture that prioritises scientific excellence and patient outcomes. Employees benefit from comprehensive training and development opportunities, fostering personal and professional growth within the clinical lab services sector. With a strong emphasis on teamwork and innovation, IQVIA provides a rewarding environment for those looking to make a meaningful impact in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IQVIA LLC.
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We think you need these skills to ace Data Team Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at IQVIA LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IQVIA LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IQVIA LLC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IQVIA LLC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
