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.

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