Senior User Researcher
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Before you apply
Salary€42k – €78k
LocationBarcelona Gran Vía
Typefull-time
SenioritySenior
Company size10,000+ people
PostedOct 29, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Own the research agenda: Define research initiatives aligned with business priorities and evidence gaps
Conduct mixed-methods research: Design and deliver end-to-end studies that apply appropriate sampling and methods
Turn evidence into decisions: Synthesize findings into clear, actionable recommendations
Partner and influence: Represent user needs in roadmap, prioritisation and design discussions
Strengthen research practice: Mentor colleagues, improve methods and quality standards
Leverage AI responsibly: Identify and apply AI where it can drive measurable efficiency in research workflows
Protect research integrity: Ensure ethical, inclusive research and appropriate participant consent
Salary Range:
€41,900.00 - €77,700.00
Job Description Summary
Within DD&IT Experience & Adoption at Novartis, researchers own the research agenda for one or more product or experience domains, turning ambiguous business challenges into actionable evidence that improves digital experiences and informs product and business decisions.
This is a hands-on senior individual-contributor role. You will combine strong qualitative and quantitative expertise with sound judgement, partnering with product, design, engineering and business stakeholders to ensure research leads to meaningful action.
Job Description
Major Accountabilitie
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Own the research agenda: Define research initiatives aligned with business priorities and evidence gaps. Frame decision-focused research questions and determine when new studies, existing evidence or analytics offer the most value.
•
Conduct mixed-methods research: Design and deliver end-to-end studies that apply appropriate sampling and methods for the problem at hand. Fluent triangulating insights from different sources.
•
Turn evidence into decisions: Synthesize findings into clear, actionable recommendations, communicating confidence and limitations. Track how research influences decisions and subsequent outcomes.
•
Partner and influence: Represent user needs in roadmap, prioritisation and design discussions, constructively challenging assumptions and helping stakeholders engage responsibly with research.
•
Strengthen research practice: Mentor colleagues, improve methods and quality standards, and contribute reusable evidence to the shared insights repository.
•
Leverage AI responsibly: Identify and apply AI where it can drive measurable efficiency in research workflows without compromising research quality or rigour.
•
Protect research integrity: Ensure ethical, inclusive research and appropriate participant consent, data handling and documentation throughout the research lifecycle.
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