Role OverviewWe 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 ResponsibilitiesDesign, develop, and maintain health economic models using advanced Excel techniques, including:Budget Impact Models (BIM)Cost-Effectiveness Models (CEM)Burden of Disease ModelsBuild 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 & GovernanceEnsure 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 QualificationsMaster’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 workplace.Preferred QualificationsExperience 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).

📌 Health Economics Modelling (Haryana)
🏢 WNS
📍 Haryana