Associate Consultant, HEOR

We are Kintiga (formerly MAP Patient Access, Axtalis, and SKC), a pan-European specialist consultancy that partners with ambitious health technology developers through the complex journey to achieve successful market access across Europe, with our tailored approach, global perspective and local expertise. Our clients in healthcare and life sciences are leading innovators in pharma, biotech, medtech, digital health, and diagnostics. As part of Kintiga, we support the successful launch and reimbursement of breakthrough therapies and technologies. Join our team and help shape the future of the cutting-edge healthcare solutions.

At Kintiga, we cultivate a collaborative and entrepreneurial culture where every voice matters. We value diversity, openness, and integrity - encouraging our team members to bring their ideas and passion to work every day. Become part of a supportive, dynamic team that thrives on innovation, lifelong learning, and making a meaningful impact in healthcare and life sciences.

A highly analytical and detail-oriented individual with a strong quantitative background and a keen interest in health economics and outcomes research is sought. The ideal candidate will be confident working with complex data and modelling techniques, with the ability to translate clinical and economic evidence into clear, structured insights. You will bring strong Excel skills, excellent organisation, and a proactive approach to managing your work within project timelines. A collaborative mindset is essential, as you will work closely with senior colleagues while contributing your own ideas to improve modelling quality and delivery. Strong communication skills are also key, enabling you to present technical concepts clearly to both internal teams and clients. Previous experience in health economic modelling or an HTA/consulting environment would be advantageous, alongside a genuine motivation to learn and grow in a fast-paced consultancy setting.

Key Responsibilities

• Support the development and adaptation of health economic models, including global and local cost‑effectiveness and budget impact models, with guidance from senior colleagues, ensuring outputs are complete, structured and delivered to agreed timelines.
• Conduct quantitative analyses, ensuring accuracy, reproducibility, and clear documentation of methods and assumptions and outputs.
• Plan and prioritise own work within the project framework, escalating issues where they may affect quality, scope, dependencies or timelines.
• Contribute to systematic literature reviews of economic data, data extraction, and evidence synthesis to inform model inputs and project deliverables, for example indirect treatment comparisons and MAICs.
• Contribute to the preparation of client‑facing materials, including slide decks, technical reports, model summaries, and user guides, bringing analytical insight to help inform project findings and recommendations.
• Perform quality checks on analytical work, model calculations, and data sources to ensure outputs meet internal and client standards, supporting first‑time‑right delivery and reducing rework.
• Support project coordination, including tracking timelines, managing data sources, and liaising with internal stakeholders and managing dependencies for defined project components.
• Participate in client meetings (as appropriate), contributing analysis and insight as part of the project team and supporting senior colleagues in presenting project outputs.
• Stay informed on HTA requirements, methodological developments, and best practices across NICE, SMC, NCPE, and international agencies and apply this knowledge to strengthen technical quality and delivery approaches.
• Identify recurring issues in analysis, modelling or delivery approaches and propose practical improvements to support quality, efficiency and consistency.
• Contribute to improved delivery processes and team ways of working.

Essential Requirements

• A degree (or postgraduate qualification) in Health Economics, Economics, Statistics, Mathematics, Epidemiology, Public Health, or a related quantitative discipline.
• Strong numeracy and analytical capability, with confidence working with complex datasets and quantitative methods.
• Experience with Excel is essential; familiarity with R, Python, Stata, or VBA is advantageous.
• Understanding of clinical, epidemiological, and economic data and how they translate into structured analytical outputs.
• Excellent written and verbal communication skills, with the ability to present technical concepts clearly and concisely.
• Strong organisational skills, attention to detail, and the ability to manage multiple tasks simultaneously.
• A collaborative mindset and willingness to learn from senior colleagues in a supportive consultancy environment.

Desirable Requirements

• Previous experience of reviewing, adapting or developing health economic models for HTA submission purposes.
• Previous experience of developing early economic models and or budget impact tool kits.
• Previous experience of a consultancy or HTA body environment.

What Can We Offer You

• Competitive Salary (dependent on experience).
• Extensive benefit programme.
• Company‑wide meet‑ups.
• International work environment with potential for cross‑border responsibilities.
• Generous annual leave entitlement – 3 of those will be used for our Christmas shutdown.
• Hybrid environment – a mixture of office and home working.
• Flexible working – to help maintain a better work‑life balance.

This role is open to full‑time applicants only. No agencies please. Unfortunately, we are unable to sponsor candidates for this role.