Associate

Key Responsibilities :

- Support the development and adaptation of health economic models, including cost effectiveness, cost utility, budget impact, cost consequence, burden of illness and related analytical models.

- Assist in model conceptualization, structure selection, parameter mapping, input population, scenario analysis and uncertainty analysis under guidance from senior team members.

- Conduct targeted and systematic literature reviews to identify clinical, epidemiological, utility, cost, resource use and treatment pathway inputs for model development.

- Apply statistical and quantitative methods to analyze clinical trial data, observational evidence, published studies and other evidence sources relevant to HEOR projects.

- Develop, review and maintain Excel based model workbooks with clear formulas, transparent assumptions, version control and quality checks.

- Support survival analysis, extrapolation, transition probability estimation, evidence synthesis and other biostatistical tasks where required by project scope.

- Prepare technical documentation, model specification notes, validation trackers, input tables, assumptions logs and client ready summaries.

- Contribute to quality control by checking model logic, consistency of inputs and outputs, traceability of sources, numerical accuracy and alignment across reports, slides and model files.

- Collaborate with cross functional teams across Evidence Strategy, Market Access, Value, Access and Pricing, Real World Evidence and broader consulting teams as needed.

- Translate quantitative findings into clear messages that can support payer, HTA, publication and client strategy deliverables.

Required Qualifications :

- M.Stat, M.Sc. Statistics, M.Sc. Biostatistics, or a closely related quantitative degree from a recognized institute.

- Strong foundation in probability, statistical inference, regression methods, survival analysis, study design and interpretation of quantitative evidence.