Health Economics Internship at IQVIA

Milan, Lombardy, Italy

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Healthcare, PharmaceuticalsIndustries

Requirements

MSc degree in Economics, Health Economics, Econometrics, Statistics/Biostatistics or any other related field with a quantitative background
Strong analytical skills
Proficiency in Italian and English (both oral and written)
Excellent Microsoft Office Skills: strong skills in working with Excel spreadsheets and creating presentations with PowerPoint
Fundamentals of health economics are highly preferred
Ability to work in team
Good planning, time-management and organizational skills
Intellectual curiosity, flexibility and attention to details

Responsibilities

Literature review to source the required inputs to projects
Adaptation and development of health economics analyses (e.g. budget impact analyses, cost/effectiveness analyses, cost of illness studies, etc.)
Development and communication of HE analyses to clients
Perform statistical analysis on IQVIA proprietary and third-party data and communicate results through scientific publications and posters

Skills

Key technologies and capabilities for this role

Health EconomicsExcelPowerPointStatistical AnalysisEconometricsLiterature ReviewBudget Impact AnalysisCost-Effectiveness Analysis

Questions & Answers

Common questions about this position

What is the location for this Health Economics Internship?

The internship is based in Milan.

What degree is required for this internship?

An MSc degree in Economics, Health Economics, Econometrics, Statistics/Biostatistics or any other related field with a quantitative background is required.

What are the key skills needed for this role?

Strong analytical skills, proficiency in Italian and English, excellent Microsoft Office skills (especially Excel and PowerPoint), and fundamentals of health economics are highly preferred. Additional soft skills include ability to work in a team, good planning, time-management, organizational skills, intellectual curiosity, flexibility, and attention to details.

What is the duration and start date of the internship?

The internship duration is six months and the start date is February/March 2026.

What compensation or salary is offered for this internship?

This information is not specified in the job description.

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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