Clinical Data Management Lead, FSP, home-based in South Africa at IQVIA

Bloemfontein, Free State, South Africa

IQVIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Clinical ResearchIndustries

Requirements

  • Home-based in South Africa
  • Bachelor’s Degree, or educational equivalent, in health, clinical, biological or mathematical sciences, or related field
  • Around 5 years direct Data Management experience, including 3 or more years as a Clinical Data Management project lead (preferred)
  • Ability to maintain strong customer relationships

Responsibilities

  • Provide leadership and vision to the team
  • Manage and deliver several large-scale, high complexity/non-standard aspect studies across a range of sponsors and Therapeutic areas
  • Manage sponsors at both Study and Programme Level
  • Manage delivery of areas requiring specific expertise (e.g., Process, Finance)
  • Ensure milestones meet timelines and quality deliverables
  • Provide project management expertise working with customer data managers, key decision makers and internal team members to manage continuous process improvements and provide technical expertise
  • Ensure open communications with customer and Quintiles management to manage and meet contractual obligations
  • Provide input for and perform direct negotiations with customer
  • Establish strong communications with Data Operations team, functional leads, project managers and all other stakeholders
  • Support DM service delivery with comprehensive DM process and technical expertise in executing projects
  • Create and/or review and sign-off on all data management plan (DMP) documents
  • Track service performance and provide leadership to identify root causes of issues and implement remedial actions
  • Serve as the escalation point for unresolved data issues; work with client data managers, vendors, internal team members for resolution
  • Maintain internal tracking databases and systems

Skills

Clinical Data Management
Project Management
Data Management Plan
Stakeholder Management
Process Improvement
Data Operations
Technical Expertise
Root Cause Analysis
Database Tracking
Vendor Management

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters
1998Year Founded
$3,526MTotal Funding
POST_IPO_EQUITYCompany Stage
Cybersecurity, Biotechnology, HealthcareIndustries
10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.
Proliferation of disparate technological solutions causes technology overload in clinical trials.
Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.
The company offers privacy-enhancing technologies to protect individual patient data.
IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.
AI-driven drug discovery accelerates identification of potential drug candidates.
Expansion of telemedicine facilitates remote patient monitoring and data collection.

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