Data Science & Analytics

Build models that inform R&D portfolio decisions — probability of technical success (PTS), expected net present value (eNPV), portfolio optimization under budget constraints. Support go/no-go decisions at development milestones with quantitative analysis.

Forecast revenue for launch and inline products using prescription data (IQVIA, Symphony), patient flow models, and market research. Analyze sales force effectiveness, payer mix, and competitive dynamics. Support brand teams with performance dashboards.