Health Economics Modelling (HEOR)

WNS · India

Role Overview

We are seeking a highly motivated HEOR professional to support evidence generation and market access initiatives. This role involves developing robust economic models, generating insights, and collaborating with cross-functional stakeholders to drive decision-making in healthcare.

Key Responsibilities

• Design, develop, and maintain health economic models using advanced Excel techniques, including:
• Budget Impact Models (BIM)
• Cost-Effectiveness Models (CEM)
• Burden of Disease Models
• Build and validate decision-analytic models (Markov models, decision trees) to simulate disease pathways, treatment outcomes, and long-term impacts.
• Conduct deterministic and probabilistic sensitivity analyses, scenario testing, and model validation to ensure accuracy and robustness.
• Interpret and synthesize clinical, epidemiological, and economic data (trial data, literature, real-world evidence) to populate models.
• Support health technology assessment (HTA) submissions and reimbursement dossiers across global markets.
• Develop clear, client-ready deliverables such as technical reports, slide decks, and publications.
• Collaborate with cross-functional teams including Medical Affairs, Market Access, Commercial, and Data Science.

Operational Excellence & Governance

• Ensure adherence to defined SLA timelines , quality standards, and delivery benchmarks.
• Participate in model review cycles , validation checks, and audit readiness processes.
• Maintain documentation in line with best practices (e.g., ISPOR/SMDM guidelines).
• Track project progress, proactively flag risks, and ensure timely resolution of issues.
• Contribute to process improvements, standardization, and knowledge-sharing initiatives.

Required Qualifications

• Master’s degree (or higher) in Health Economics, Pharmacoeconomics, Public Health, Biostatistics, or related discipline.
• 4+ years of experience in health economic modelling and outcomes research.
• Strong expertise in decision-analytic modelling (Markov models, decision trees).
• Advanced Excel skills (including complex formulas; VBA is an advantage).
• Good understanding of HTA frameworks, reimbursement landscapes, and payer requirements.
• Strong analytical thinking, attention to detail, and problem-solving ability.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

• Experience with tools such as TreeAge, R, or Python for modelling or analysis.
• Exposure to real-world evidence (RWE) and systematic literature reviews (SLR).
• Prior experience in consulting, life sciences, or pharmaceutical environments.
• Familiarity with global HTA bodies (e.g., NICE, CADTH, PBAC).