Job Description

Description:

The Applied AI Scientist - Commercial builds and deploys machine learning and agentic AI systems that improve pricing, contracting, customer, and portfolio decisions across Amneal's generics and specialty businesses. This is a hands-on technical role accountable for production systems used daily by Commercial Operations, Pricing & Contracting, Marketing, and Market Access, with business outcomes baselined and validated by Finance. The role sits within the Enterprise AI Transformation function.

Essential Functions:

• Decision Support System
  • Develop predictive and optimization models with LLM as interface supporting customer bid and tender decisions, including win-probability modeling and price-volume trade-off analysis across the generics portfolio.
  • Build revenue and volume forecasting models at NDC and brand level accounting for competitive entrants, loss of exclusivity, price erosion curves, and customer concentration.
  • Analyze gross-to-net performance, chargeback, and rebate data to identify and quantify margin leakage, and implement recurring detection rather than one-time analysis.
  • Model customer and channel profitability across wholesalers, GPOs, retail, and specialty accounts to inform contracting strategy and account prioritization.
• Business Impact and Governance
  • Instrument deployed models with monitoring for drift, data quality, and business KPI degradation, and own remediation.
  • Establish benefit baselines with business owners, partner with Finance to validate realized impact, and document methodology to a standard supporting internal audit and SOX review where financially material. 
  • Present findings, recommendations, and model limitations to Commercial leadership.
• Growth & Portfolio Insights
  • Build analytics supporting specialty product launches, including patient and prescriber dynamics, payer coverage and access barriers, and field targeting.
  • Develop portfolio and business development models assessing new product opportunity: market size, expected entrant count, erosion trajectory, and risk-adjusted return.
• AI Solution Development
  • Build LLM-based and agentic applications for commercial workflows, including contract, tender, and market intelligence document extraction, supported by formal evaluation sets and regression testing.