Job Description

Role Overview

We are seeking a highly motivated HEOR skilled 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 Tree Age, 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 (HEOR) (Gurugram)
🏢 WNS Denali
📍 Gurugram