Associate Data Team Lead at IQVIA

Shanghai, Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Pharmaceuticals, Clinical ResearchIndustries

Requirements

Bachelor's Degree in Health, clinical, biological or mathematical sciences, or related field (Required)
3 years direct Data Management experience, including 1 or more years as a CDM project lead. Equivalent combination of education, training and experience
Previous experience and proven competencies

Responsibilities

Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction
Provide comprehensive data management expertise to Clinical Data Management (CDM) team
Provide leadership to the team in project planning, execution, close-out; financial management; communications; and milestone deliverables
Perform role of Data Team Lead (DTL)
Comply with Good Clinical Practices (GCPs), applicable regulatory guidelines, SOPs, policies, and CDM guidance documents
Serve as primary point of contact for customer on data management deliverables
Provide project management expertise to manage continuous process improvements, issue escalation, workload projections, and technical expertise
Provide input for and perform direct negotiations with customer on timelines, financial, process, and resources (with guidance)
Maintain strong customer relationships and ensure open communications to manage contractual obligations
Meet regularly with Data Operations Coordinator (DOC) and/or Data Operations team to ensure milestones meet timelines and quality deliverables
Establish strong communications with Data Operations team, functional leads, project managers, and stakeholders
Support DM service delivery with comprehensive DM process and technical expertise
Serve as escalation point for unresolved data issues and work with client data managers, vendors, and internal team for resolution (with guidance)
Work with functional manager(s) to ensure appropriate resources are assigned
Create and/or review and sign-off on data management plan (DMP) documents (with guidance)
Implement proactive quality management plan, identify issues, and resolve with functional manager(s)
Track service performance, identify root causes of issues, and implement remedial actions (with guidance)
Identify opportunities to improve efficiency of tasks and quality of deliverables
Identify compliance issues and ensure timely resolution with functional manager(s)
Maintain internal tracking databases and systems (with guidance)
Ensure service and quality meet agreed timelines and deliverables in contract/SOW (with guidance)
Manage SOW/budget and review financial reports monthly
Participate in project reviews, identify out-of-scope tasks, and track change orders
Serve as Project Manager for single service DM projects, including financial tracking, revenue recognition, and invoicing (with guidance)
Participate in RFP process (review documents, pricing, bid defense) (with guidance)
Provide input on DM process improvements or project solutions to CDM team/department
Provide input on development and implementation of new technology or tools
Participate in focus team or global/local best practice team
Perform other duties as directed by functional manager(s)

Skills

Key technologies and capabilities for this role

Data ManagementClinical Data ManagementProject ManagementClient ManagementGCPRegulatory ComplianceSOPsData OperationsIssue EscalationFinancial Management

Questions & Answers

Common questions about this position

What is the salary for the Associate Data Team Lead position?

This information is not specified in the job description.

Is this a remote position, or is there a required location?

This information is not specified in the job description.

What are the key skills required for this role?

The role requires comprehensive data management expertise, project management skills, leadership in project planning and execution, and knowledge of Good Clinical Practices (GCPs), regulatory guidelines, SOPs, and CDM guidance documents.

What does the team structure look like for this position?

The role involves leading a data management team, serving as the primary point of contact for clients, working with Data Operations Coordinators (DOC), functional leads, project managers, and stakeholders, and ensuring appropriate resources are assigned.

What makes a strong candidate for the Associate Data Team Lead role?

Strong candidates have experience managing end-to-end data management services for projects, providing data management expertise to CDM teams, leading teams with minimal guidance, handling client relationships, financial management, and ensuring compliance with GCPs and regulations.

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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