Wednesday, June 24

    Senior Quality Review Specialist (Principal Data Manager)

    • Employer: IQVIA
    • Location: Bloemfontein
    • Employment Type: Full-Time (Home-Based)
    • Job Reference: R1553171

    Job Overview

    The Senior Quality Review Specialist (Principal Data Manager) is a senior-level leadership role responsible for overseeing data management operations across multiple global clinical trials and laboratory studies. The position ensures high-quality, accurate, and compliant clinical data from study start-up through database lock while leading teams, managing client relationships, budgets, timelines, and quality standards.

    Key Responsibilities

    Data Management Leadership

    • Serve as Data Team Lead (DTL) on 6–10 global clinical trials or 40+ complex central laboratory studies.
    • Lead and mentor Clinical Data Management (CDM) teams.
    • Provide technical expertise and guidance on data management processes.
    • Act as a Subject Matter Expert (SME) in specialized data management areas.

    Project and Operational Management

    • Oversee the full data management lifecycle from study start-up to database lock.
    • Manage project timelines and deliverables.
    • Monitor project quality and compliance.
    • Manage resources effectively across multiple projects.
    • Oversee Scope of Work (SOW) and project budgets.

    Client and Stakeholder Management

    • Build and maintain strong customer relationships.
    • Lead customer negotiations regarding timelines, budgets, and project requirements.
    • Participate in bid defense meetings and business development activities.
    • Deliver marketing and capability presentations to prospective clients.

    Quality Assurance and Process Improvement

    • Ensure comprehensive quality control procedures are implemented.
    • Identify and implement process improvements.
    • Develop project solutions and recommend best practices.
    • Support the development of new technologies and tools.
    • Review and contribute to operating procedures and work instructions.

    Team Development and Mentorship

    • Mentor and train team members.
    • Develop data management expertise within the department.
    • Lead focus groups and best-practice initiatives.
    • Support continuous professional development across teams.

    Industry Contribution

    • Present at professional conferences.
    • Publish articles in professional journals.
    • Contribute to the advancement of clinical data management practices.

    Minimum Requirements

    Education

    One of the following qualifications is required:

    • Bachelor’s Degree in:
      • Clinical Sciences
      • Biological Sciences
      • Mathematical Sciences
      • Related scientific field

    OR

    • Nursing qualification with relevant experience.

    Experience

    • Minimum 5 years of relevant clinical data management experience.
    • Proven experience managing multiple projects simultaneously.
    • Experience managing large clinical trials involving more than 1,000 patients.
    • Experience leading customer negotiations and bid defense meetings.
    • Experience across the complete clinical data management lifecycle.

    Required Knowledge and Skills

    Technical Expertise

    • Advanced clinical data management knowledge.
    • Understanding of clinical drug development processes.
    • Experience with SAE (Serious Adverse Event) reconciliation.
    • Central laboratory data management expertise.
    • Knowledge of emerging technologies within clinical research.
    • Strong understanding of operating procedures and work instructions.

    Leadership Skills

    • Team leadership and mentoring.
    • Strategic decision-making.
    • Resource management.
    • Project management.
    • Stakeholder management.

    Professional Competencies

    • Excellent organizational skills.
    • Advanced communication and presentation skills.
    • Strong analytical and problem-solving abilities.
    • High attention to detail.
    • Ability to build strong client and team relationships.

     

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