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Associate Principal/Principal Qualitative Research, Patient Centered Solutions

IQVIA · Zürich

Zürich · HybridFull-TimePosted Jun 25, 2026

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Job description

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics, and human ingenuity to drive healthcare forward.

The Patient Centered Solutions team (PCS)

The PCS team leads the industry in the science of measuring the patient experience. We pair strategic consulting expertise with technical scientific knowledge to design and execute scientifically rigorous research that incorporates the patient voice into the development and commercialization of new medicines. This research includes qualitative (e.g., patient interviews, focus groups), quantitative (e.g., clinical outcome assessments (COAs)/patient-reported outcomes (PROs), preference research) and passive (e.g., digital health technology tools) approaches to understand patient, caregiver and physician experiences and expectations of disease and treatment.

Why join?

  • Become part of a recognized global leader in patient-focused research
  • Keep growing with an organization that encourages and invests in continuous professional and personal development
  • Apply your business and leadership skills in an entrepreneurial and multi-disciplinary team
  • Continue challenging yourself by addressing the toughest client issues, working across multiple geographies and solutions in a dynamic and crucial field for the industry
  • Make a difference to patients by enabling the successful approval or launch of new treatments with features that are truly patient-centric

Role Overview

Within PCS, the Qualitative Research Specialty (QRS) delivers scientifically rigorous qualitative research to inform clinical development, regulatory strategy, and healthcare decision‑making.

We are seeking an Associate Principal / Principal to join the QRS team, based in the UK or Europe, with flexibility for remote or hybrid working. This role blends scientific leadership, consulting delivery, and people development. The exact level (Associate Principal or Principal) will depend on experience and demonstrated leadership scope.

The role is positioned between project‑level scientific leadership and broader practice‑level contribution, with increasing responsibility for client leadership, methodological excellence, business development support, and capability building across the qualitative community. The role has a particular emphasis on generating and applying patient experience data to inform COA development, evaluation, and use within clinical and regulatory contexts.

Key Responsibilities

Scientific & Consulting Leadership

  • Act as a subject matter expert (SME) in qualitative research, providing expert guidance on study design, methodological approaches, and interpretation of patient experience data, translating findings into evidence that informs COA strategy, endpoint development, and broader clinical and commercial decision-making across a portfolio of projects spanning in-trial settings, observational studies, and standalone research programmes.
  • Lead the design, execution, and delivery of high‑quality qualitative research, including examining burden of disease, evaluating content validity of PROs and other COAs, and the development or modification of COA measures, ensuring scientific rigour, methodological appropriateness, and alignment with regulatory, publication, and client expectations.
  • Identify, evaluate, and apply innovative qualitative methods, including AI-enabled approaches, to enhance study design, data collection, and analysis while maintaining scientific rigour.
  • Lead the review and testing of emerging qualitative research and analysis methods and contribute to the evidence base for their use at PCS.
  • Provide senior scientific input into qualitative analysis plans, interpretation of patient experience data, and development of r

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