Overview
In this senior, client-facing role you will lead end-to-end quantitative research programmes and deliver strategic, data-driven insights that shape business decisions. You’ll act as a trusted expert for clients and a guiding leader within the team, designing studies from proposal to delivery and debrief. You will translate complex data into clear recommendations and impactful presentations, while nurturing client relationships and growing your own accounts. This role sits at the intersection of advanced methodology, storytelling, and commercial impact in healthcare and life sciences.
Pay / Benefits
- hybrid working
- competitive salary and bonus
- industry-recognised training and development opportunities
- generous holiday allowance
- health and wellbeing support
- retirement benefits
Responsibilities
- Lead end-to-end quantitative studies from design to delivery and debrief
- Advise clients on methodology and strategic direction
- Build and grow client relationships with increasing account ownership
- Create proposals, pitches, and new business opportunities
- Design questionnaires, oversee fieldwork, ensure data quality
- Apply advanced techniques (segmentation, conjoint, MaxDiff, driver analysis) to extract insights
- Translate data into clear, commercially relevant recommendations
- Deliver compelling presentations and reports
- Support ongoing tracking studies to identify trends and insights
- Mentor junior team members and foster a collaborative culture
Key requirements
- 6+ years’ experience in healthcare market research or related field
- Strong grounding in quantitative research design and delivery
- Experience with conjoint, segmentation and multivariate analysis
- Ability to interpret complex datasets and extract strategic insights
- Proficiency in PowerPoint; comfortable with Excel-based outputs
- Experience managing multiple projects and stakeholders
- Experience mentoring or supporting junior team members
- curious and analytical mindset
- strong communication and client-facing confidence
- collaborative, team-oriented approach
- conjoint analysis
- segmentation
- multivariate analysis
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