Associate Data Team Lead at IQVIA

Beijing, Beijing, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Pharmaceuticals, Clinical ResearchIndustries

Requirements

Bachelor's Degree or educational equivalent in health, clinical, biological or mathematical sciences, or related field
Minimum of 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 (unspecified in detail)

Responsibilities

Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time, within budget, and to customer satisfaction
Provide comprehensive data management expertise to Clinical Data Management (CDM) team to deliver high quality data management products that meet customer needs
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 with minimal guidance, working with customer data managers, key decision makers, and internal team members to manage continuous process improvements, issue escalation, workload projections, and technical expertise
With guidance, provide input for and perform direct negotiations with customer on timelines, financials, processes, and resources
Maintain strong customer relationships and ensure open communications with customer and IQVIA management to manage and meet contractual obligations
Meet regularly with Data Operations Coordinator (DOC) and/or Data Operations team members to ensure milestones meet timelines and quality deliverables
Establish strong communications with Data Operations team, functional leads, project managers, and all other stakeholders
With minimal guidance, support DM service delivery with comprehensive DM process and technical expertise in executing projects
Serve as the escalation point for unresolved data issues and, with guidance, work with client data managers, vendors, and internal team members for resolution
Work with functional manager(s) to ensure appropriate resources are assigned to meet project deliverables
With guidance, create and/or review and sign-off on all data management plan (DMP) documents
Implement proactive quality management plan
Identify service and quality issues per DMP and contract/SOW and work with functional manager(s) to resolve
With guidance, track service performance, provide leadership to identify root causes of issues, and implement remedial actions
Continuously look for opportunities to improve efficiency of tasks and quality of deliverables
Identify compliance issues and work with functional manager(s) to ensure timely follow-up and resolution
With guidance, maintain internal tracking databases and systems
With guidance, ensure service and quality meet agreed timelines and deliverables in contract/SOW; manage SOW/budget
Review financial reports monthly and participate in project reviews as requested
Identify out-of-scope tasks and track change orders to completion
With guidance, serve as Project Manager for single service DM projects, including financial tracking, revenue recognition, and invoicing
With guidance, participate in and support RFP process (review RFP documents, pricing, attend bid defense)
Provide input on DM process improvements or project solutions to CDM team/CDM department
Provide input on the development and implementation of new technology or tools
Participate in focus teams or global/local best practice teams
Perform other duties as directed by functional manager(s)

Skills

Key technologies and capabilities for this role

Data ManagementClinical Data ManagementProject ManagementGCPSOPClient ManagementData OperationsIssue EscalationFinancial Management

Questions & Answers

Common questions about this position

Is this a full-time position?

Yes, this is a full-time employment opportunity.

What is the salary or compensation for this role?

This information is not specified in the job description.

What are the key responsibilities of the Associate Data Team Lead?

The role involves managing end-to-end delivery of data management services for projects, providing leadership to the CDM team in project planning, execution, financial management, and ensuring quality deliverables on time and within budget.

What skills or experience are essential for this position?

Essential skills include comprehensive data management expertise, project management with minimal guidance, client management, leadership in team execution, and knowledge of Good Clinical Practices (GCPs), regulatory guidelines, SOPs, and CDM guidance documents.

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

A strong candidate has experience as a Data Team Lead (DTL), ability to manage client relationships as the primary point of contact, expertise in financial management and SOW/budget tracking, and skills in issue escalation, quality management, and team leadership with minimal guidance.

Does the job mention remote work or location requirements?

This information is not specified in the job description.

What is the team structure or work environment like?

The role involves leading a Clinical Data Management (CDM) team, working with Data Operations Coordinator (DOC), Data Operations team members, functional leads, project managers, stakeholders, clients, and vendors, with regular meetings and strong communications emphasized.

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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