Associate/Senior Outcomes Researcher - Multiple Teams

About the Role

We are expanding our RWE/HEOR team, with growing focus on two emerging areas in the Korean market: the growing use of real-world data in post-marketing evidence generation, risk management planning (RMP), and regulatory decision-making, as well as multi-source real-world data networks and research ecosystems.

Experience in either area is welcomed but not required. Strong RWE/HEOR professionals with a solid methodological foundation are encouraged to apply and grow into these evolving domains.

Responsibilities

• Carry out work relating to HEOR business areas (database studies, longitudinal retrospective/prospective observational studies, cross-sectional surveys of patients/healthcare providers/payers, patient-reported outcomes research, etc.).
• Work with supervision, independently and/or as part of a project team on defined tasks.
• Develop, review, implement, and execute prospective or retrospective outcomes research protocols, statistical analysis plans, and reports.
• Local data sourcing, search, collection, and generation; develop analysis plans and provide input to complex health economic models.
• Involve in business development and internal initiatives (partial proposal development based on client RFPs, internal knowledge sharing, and presentations to IQVIA colleagues).
• Project management and client liaison; attend client and external meetings and present research findings and analyses.
• Draft, revise, submit, and present abstracts, posters, and manuscripts for publication and conference proceedings.
• (Plus) Contribute to the application of real-world data in post-marketing evidence generation, including risk management planning (RMP), safety evaluation, drug utilization assessment, and post-authorization evaluation of treatment effectiveness and safety in support of evolving regulatory requirements.
• (Plus) Contribute to multi-site RWE studies using diverse real-world data sources, including hospital EMR data, and support the expansion of data partnerships and research networks through site onboarding, data governance, IRB/DRB strategies, and standardized analytical approaches.

Minimum Qualifications

• 3+ years of experience in outcomes research using real-world data sources (e.g., claims databases and hospital EMR data) and generating real-world evidence.
• Master's degree or higher in Statistics, Epidemiology, Pharmacoepidemiology, Public Health, Health/Medical Informatics, or a related field, with demonstrated experience in RWD-based research projects, publications, or scientific communications.
• Working knowledge of at least one statistical programming language (SAS, R, or Python).
• Understanding of the Korean healthcare system and pharmaceutical industry environment.
• Demonstrable analytical, interpretative, and problem-solving skills.
• Good English communication skills.

Why IQVIA?

IQVIA is the world's leading provider of healthcare analytics, technology solutions, and evidence-generation services.

As part of our RWE & HEOR team, you will work on high-impact projects spanning real-world evidence, regulatory evidence generation, healthcare data ecosystems, and innovative research partnerships, while collaborating with multidisciplinary experts across local and global teams.

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IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.