Data Management at IQVIA

Tokyo, Japan

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Pharmaceuticals, CRO, HealthcareIndustries

Requirements

Data management experience of 3 or more years in clinical trials, clinical research, or PMS at a pharmaceutical company, CRO, or academia
Experience in building EDC systems
Experience leading data management teams
Experience using English in work (e.g., reading SOPs, email communication)

Responsibilities

Creation of related documents such as input specifications and check specification documents
Verification (validation) of data management systems
Deficiency and inconsistency checks of case report forms, including medical checks
Coordination with clients and internal departments
Guidance and management of dispatched employees

Skills

Key technologies and capabilities for this role

Data ManagementEDCData ValidationQuery ResolutionMedical ReviewEdit ChecksSOPTeam LeadershipEnglish CommunicationClinical Research

Questions & Answers

Common questions about this position

What experience is required for this Data Manager position?

Candidates must have 3+ years of data management experience in clinical trials, clinical research, or PMS at pharmaceutical companies, CROs, or academia, along with EDC system build experience, data management team lead experience, and business English usage such as reading SOPs and email communication.

Where is the work location for this role?

The position is based at the Kamifukuoka office or Osaka office.

What are the main responsibilities of the Data Manager?

Responsibilities include creating input specifications and check specification documents, validating data management systems, performing medical checks and discrepancy checks on case report forms, coordinating with clients and internal departments, and managing dispatched employees.

Is English proficiency required for this job?

Yes, experience using English in business contexts, such as reading SOPs and email communication, is required.

What kind of candidates is the company looking for?

The company seeks individuals eager to expand their DM skills, broaden their experience, work globally, and thrive in a challenging environment handling PMS cases, global pharma clinical research, and academia-led investigator-initiated trials.

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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