Management Consulting, Analyst~Consultant at IQVIA

Tokyo, Japan

IQVIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, Healthcare, PharmaceuticalsIndustries

Requirements

  • Consultant experience required (Pharmaceutical industry experience is not mandatory)
  • Associate Consultant / Analyst experience preferred
  • Pharmaceutical industry knowledge is desirable
  • Japanese: Fluent
  • English: Business Level (Preferred)

Responsibilities

  • Support clients with consulting projects and proposal activities on a project-based basis
  • Participate in initiatives such as new offering development, organizational development, and IQVIA’s internal investment projects
  • Assist clients in solving challenges and improving business operations within the life sciences industry
  • Contribute to strategic planning, including new drug business viability forecasting, MR sales strategies, channel and medical strategies
  • Leverage AI/digital and global assets to create greater impact

Skills

Key technologies and capabilities for this role

Management ConsultingStrategic PlanningAIDigital TransformationM&APortfolio StrategySales StrategyOrganizational OptimizationJapanese FluencyBusiness English

Questions & Answers

Common questions about this position

What is the salary for this Management Consulting Analyst/Consultant role?

This information is not specified in the job description.

Is this position remote or hybrid, and where is it located?

The position is Remote / Hybrid in Tokyo.

What skills and experience are required for this role?

Consultant experience is required, with Associate Consultant / Analyst experience preferred. Pharmaceutical industry knowledge is desirable, along with fluent Japanese and business-level English (preferred).

What is the team culture like at IQVIA's Strategic Consulting division?

The team is diverse with approximately 20% foreign nationals, works on global projects fostering a global perspective, emphasizes continuous learning and challenges, and maintains an open and neutral atmosphere attracting talent from various backgrounds.

What makes a strong candidate for this consulting position?

Candidates with prior Consultant experience, preferably as Associate Consultant or Analyst, desirable pharmaceutical knowledge, fluent Japanese, and business-level English will stand out.

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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