Design and adapt health economic models (e.g., cost-utility, cost-effectiveness, budget impact) to support HTA submissions across countries within the cluster.
Generate and synthesize clinical and economic evidence, including SLRs, NMAs, and real-world data inputs.
Prepare value dossiers and submission packages aligned with national and regional HTA requirements.
Apply AI-enabled tools for literature review automation, scenario modeling, and data visualization.
Support the end-to-end HTA submission process, ensuring accuracy, consistency, and compliance with internal and external standards.
Conduct internal review checkpoints and collaborate with cross-functional teams to address uncertainties and strengthen value propositions.
Maintain documentation and version control for all HTA deliverables across markets.
Work closely with the HTA Lead, Medical and Commercial teams to align technical outputs with strategic objectives.
Contribute to internal knowledge sharing by documenting learnings and best practices from HTA projects.
Participate in cluster-wide HTA hub activities and support harmonization of processes across cluster.
Prepare materials for payer interactions, advisory boards, and external consultations.
Contribute technical input to policy shaping initiatives led by the HTA Lead or cluster teams.
Requirements
Bachelor’s or master’s degree in natural sciences and/or public administration
Minimum 5 years of experience in HTA, market access, or health economics within pharma, biotech, or consultancy.
Strong understanding of HTA frameworks and payer requirements across cluster countries.
Hands-on experience in developing health economic models and conducting evidence synthesis
Proven track record in preparing HTA dossiers, reimbursement submissions, or value dossiers for agencies
Proficiency in modeling software (e.g., Excel, TreeAge, R, Python) and data analysis tools.
Experience collaborating with cross-functional teams (clinical, regulatory, market access, medical affairs, pricing).
Familiarity with real-world evidence (RWE) generation and use in HTA.
Strong analytical skills with a structured approach to problem solving and execution
Excellent written communication skills for developing HTA dossiers, value messages, and technical reports.
Familiarity with AI-based tools for literature review, data extraction, and scenario simulation.