Integrated Research - Engagement Manager at IQVIA

London, England, United Kingdom

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Pharmaceuticals, Healthcare, Life SciencesIndustries

Requirements

University degree holder
8+ years of experience in life science or healthcare consulting
Preferential: Experience in carrying out consulting and market research projects in the pharmaceutical area at an international/cross-country level
Excellent project management skills
Excellent relationship-building skills
Excellent client management skills

Responsibilities

Lead the delivery of the Integrated Research (IR) offer for key HQ clients in EMEA, deploying the right delivery resources and innovation to ensure repeat and new business from major accounts
Understand clients’ needs and develop high quality proposals to address those
Bring strategic thinking to client issues, develop clear actions for the client to solve their issues, and act as the trusted advisor to clients on a project basis
Ensure that offering development is scalable across different client business issues
Design research solutions, including identification of relevant data assets, methodology, samples, questionnaires, discussion guides, and other research tools
Take a leadership role in implementing Business Intelligence & Research Services (B&IRS) business vision and objectives, and support the development of the business
Coach offshore team and more junior team members
Take responsibility for a significant part of the business, achieving revenue targets
Manage end-to-end consulting and Primary Market Research projects, including coordination of multidisciplinary teams staffed to the project (e.g., fieldwork, programming, desk research)
Assist in generating target revenues, work with clients to provide strategic support, oversee delivery of high-quality studies, and generate repeat business
Focus on integrating different research solutions (e.g., primary and secondary intelligence) and employing the broader IQVIA offer in client discussions
Develop winning proposals for clients and evaluate/propose different methodological solutions

Skills

Market Research

Strategic Consulting

Client Management

Revenue Generation

Primary Research

Secondary Intelligence

IQVIA Data

Healthcare Insights

Pharmaceutical Research

Behavioural Frameworks

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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