Team Lead, Translation Project Management at IQVIA

Dalian, Liaoning, China

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Language Services, Translation, LocalizationIndustries

Requirements

Minimum of 5 years of experience working in Project Management in the Language Services industry with experience of people management
Bachelor's degree, ideally in a linguistic, business or scientific field
Fluency in English is essential, an additional language would be advantageous
Excellent written/verbal communication skills
Excellent attention to detail to ensure that high quality standards are maintained
Ability to meet strict deadlines and to manage competing priorities and changing demands
Excellent problem solving and analytical skills including the collection, management and presentation of data
Ability to follow instructions and work independently whilst using own initiative
Demonstration of advanced IT skills
Experience working with TMS and CAT tools, experience working with XTRF and/or memoQ would be highly advantageous
Ability to establish and maintain effective working relationships with colleagues, managers and clients

Responsibilities

Day-to-day line management and mentoring of a team of Junior Project Managers, Project Managers and Senior Project Managers
Lead the effective recruitment and selection of new hires for the team
Ensure team and individual compliance of relevant and applicable IQVIA procedures and SOPs
Ensure team and individual adherence to the Quality Management System
Complete and review robust CAPA plans when issues arise
Organise the distribution and allocation of translation projects amongst PMs based on project specific requirements
Act as the primary point of escalation for internal/external clients and manage their requirements accordingly
Assist in the implementation of new services and processes within the team
Assist Senior Project Managers in managing client accounts and ensuring successful onboarding
Ensure team adherence to KPIs and goals, taking relevant actions when not met
Along with the Training Lead, assist in the training and development of junior staff

Skills

Project Management

Team Leadership

People Management

Translation Projects

Localization

Recruitment

Quality Management

CAPA

Client Escalation

KPI Management

Training

Analytical Skills

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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