D) at IQVIA

Berlin, Berlin, Germany

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Clinical ResearchIndustries

Requirements

Bachelor’s Degree, or educational equivalent, in health, clinical, biological or mathematical sciences, or related field
5+ years direct Clinical Data Management experience in CRO

Responsibilities

Serve as primary point of contact for customer on clinical data management deliverables
Provide project management expertise working with customer data managers, key decision makers, and internal team members to manage continuous process improvements, issue escalation, workload projections, and provide technical expertise
Provide justification for and perform direct negotiations with customer, e.g., timelines, financial, process, resource
Maintain strong customer relationships
Ensure open communications with customer and Quintiles management to manage and meet contractual obligations
Meet with Data Operations Coordinator (DOC) and/or Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables
Establish strong communications with Data Operations team, functional leads, project managers and all other stake holders
Support DM service delivery with comprehensive DM process and technical expertise in executing projects
Work with client data managers, vendors, and internal team members for resolution of unresolved data issues
Work with functional manager(s) to ensure appropriate resources are assigned to meet project deliverables
Create and/or review and sign-off on all data management plan (DMP) documents
Implement proactive quality management plans across multiple projects/programme
Track service performance and provide leadership to identify root causes of issues and implement remedial actions
Serve as Subject Matter Expert (SME)
Provide leadership and expertise in a specific CDM task or technology
Maintain internal tracking databases and systems

Skills

Clinical Data Management

Project Management

GCP

SOPs

Regulatory Compliance

Client Management

Financial Management

Data Operations

Issue Escalation

Milestone 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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