At a Glance
- Tasks: Lead data management projects and ensure high-quality deliverables in clinical settings.
- Company: Dynamic clinical data management firm focused on innovation and quality.
- Benefits: Competitive salary, professional development, and opportunities for leadership.
- Other info: Join a collaborative team with a focus on continuous improvement and career growth.
- Why this job: Make a real impact in healthcare by leading data-driven projects.
- Qualifications: 3+ years in Clinical Data Management and strong leadership skills.
The predicted salary is between 55000 - 65000 £ per year.
Experienced Clinical Data Management professional with proven expertise in leading end-to-end delivery of data management services across single and multi-service clinical projects. Adept at ensuring high-quality deliverables are completed on time, within budget, and in full compliance with GCP, regulatory requirements, and SOPs.
Key Responsibilities & Expertise
- Client & Stakeholder Management
- Act as the primary point of contact for clients on all data management deliverables
- Build and maintain strong, long-term customer relationships
- Collaborate with client data managers, stakeholders, and internal teams to ensure seamless project execution
- Lead discussions on timelines, resourcing, deliverables, and process improvements
- Manage escalations effectively, ensuring timely resolution of issues
- Project & Service Delivery
- Lead full data management lifecycle from study start-up to close-out
- Provide technical and operational leadership across DM projects
- Ensure milestones, deliverables, and timelines are consistently met
- Serve as escalation point for complex or unresolved data issues
- Coordinate closely with Data Operations teams, functional leads, and project managers
- Oversee development, review, and approval of Data Management Plans (DMPs)
- Implement proactive quality management strategies and drive continuous improvement
- Quality & Compliance
- Ensure all processes are aligned with Good Clinical Practice (GCP) and regulatory guidelines
- Monitor quality metrics and identify root causes of issues
- Lead corrective and preventive actions (CAPA) where needed
- Maintain compliance with SOPs, policies, and internal systems
- Financial & Operational Oversight
- Manage project budgets and Scope of Work (SOW) deliverables
- Review financial performance and contribute to project forecasting
- Identify and manage out-of-scope activities and change orders
- Support revenue tracking, invoicing, and financial reporting
- Contribute to RFP responses, pricing strategies, and bid defense meetings
- Leadership & Continuous Improvement
- Provide leadership and mentorship to data management teams
- Promote efficient workflows and high-quality standards
- Contribute to process optimization and implementation of new technologies
- Participate in global and local best practice initiatives
Core Competencies
- Clinical Data Management Lifecycle (Phase I–III, especially Phase III)
- Data Team Leadership (DTL)
- Project Management & Delivery
- Stakeholder & Client Management
- Database & Data Quality Oversight
- SAE & External Vendor Reconciliation
- GCP & Regulatory Compliance
- Cross-functional Team Leadership
- Financial & Resource Management
- Process Improvement & Innovation
Qualifications
- Bachelor’s degree in Health, Clinical, Biological, Mathematical Sciences or related field
- ≥3 years Clinical Data Management experience
- ≥1 year experience as Project Lead / Data Team Lead
- Proven delivery of at least one Phase III clinical study
- Strong knowledge of Medical terminology, pharmacology, anatomy, physiology, Data management systems and processes, Regulatory requirements and GCP
Professional Strengths
- Excellent communication, interpersonal, and customer engagement skills
- Strong analytical and problem-solving ability
- Highly organized with strong attention to detail
- Ability to work independently with minimal supervision
- Proven ability to build and maintain collaborative relationships
Data Team Lead/Senior Data Team Lead Reading Reading employer: Meeveem Limited
Join a dynamic and innovative team in Reading, where we prioritise professional growth and a collaborative work culture. As a Data Team Lead, you will benefit from comprehensive training opportunities, a supportive environment that encourages continuous improvement, and the chance to lead impactful clinical projects while ensuring compliance with industry standards. Our commitment to employee well-being and development makes us an exceptional employer for those seeking meaningful and rewarding careers in clinical data management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead/Senior Data Team Lead Reading Reading
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We think you need these skills to ace Data Team Lead/Senior Data Team Lead Reading Reading
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 Meeveem Limited, 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.
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How to prepare for a job interview at Meeveem Limited
✨Brush Up on Your Statistics
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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
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✨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.
