Senior Manager, AI and Data Science
Core
Building and operating production agentic AI systems and applying machine learning to real-world evidence (RWE) to generate insights for Medical Affairs in a biopharmaceutical company.
Role type
Senior Manager, AI and Data Science (Hands-on IC with ownership)
Builds
Production AI agents, orchestration workflows, RAG systems, and ML models on RWE/HEOR data for Medical Affairs.
Domain
Biopharmaceuticals / Life Sciences / Medical Affairs
Deliverable
production ML models | product features
Required skills
Agentic AI development, LLM engineering, RAG and retrieval engineering, Applied ML on RWE/HEOR data, MLOps, Data integration, Statistical methods, Feature engineering, PHI data handling
Preferred skills
Deepagents, LangGraph, LangSmith, MCP tools, Azure, Databricks Unity Catalog, Microsoft Fabric, OneLake, Epidemiology, HEOR analytics, Medical Affairs experience
Technologies
LangGraph, deepagents, LangSmith, LangChain, Databricks, Azure, MCP, Microsoft Fabric, OneLake
Responsibilities
Build and operate production AI agents and orchestration workflows; Design modular components for reasoning, retrieval, and workflow automation; Own and optimize the retrieval stack (vector/hybrid search, embeddings, reranking); Design and deploy ML models on RWE, claims, EHR, and registry data; Automate data ingestion pipelines and manage MLOps (deployment, monitoring, observability); Align AI initiatives with enterprise governance, privacy, and compliance.
Seniority
Senior Manager, hands-on IC with end-to-end ownership
