Applied AI Scientist - Commercial

Role: Applied AI Scientist - Commercial focuses on developing and deploying machine learning and agentic AI systems to enhance decision-making in pricing, contracting, customer insights, and portfolio management within Amneal's generics and specialty pharmaceutical businesses. Responsibilities include building predictive models for bid and tender decisions, revenue forecasting, margin analysis, and customer/channel profitability; deploying and monitoring AI models; and creating analytics for product launches and market opportunities. The role also involves developing LLM-based applications for commercial workflows, supported by formal evaluation and testing. Qualifications: Bachelor's in Computer Science, Statistics, Economics, or related; 5+ years in machine learning deployment, advanced Python/SQL skills, and experience in pharmaceutical commercial analytics. Preferred: Master's or Ph.D., familiarity with agentic LLMs, third-party pharma data assets, cloud ML platforms, and causal inference methods. High-value: focus on generics and specialty markets, commercial analytics, LLM application, SaaS deployment, and cross-functional stakeholder engagement. Work setup: not specified; salary range $190K-$225K plus performance incentives.