Job Description
Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH. Madrigal’s medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-β agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c). Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way. J ob Title: Senior Manager, AI and Data Science Department: AI and Data Science Location: Hybrid, Conshohocken PA About Madrigal Pharmaceuticals Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH. Madrigal’s medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-β agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c). Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way. Job Description Madrigal Pharmaceuticals is advancing transformational therapies with scientific rigor and a commitment to patients. We are expanding our AI capabilities to accelerate insights, enhance decision quality, and enable scalable innovation across the organization. We are seeking a Senior Manager, AI and Data Science who brings strong technical depth, hands-on experience with agentic AI, and an ownership mindset. This individual will develop advanced AI solutions, partner across functions, and help expand our use of modern machine learning and agentic frameworks to support our mission. Key Responsibilities AI & Data Science Development Lead end-to-end development of machine learning and AI models, from problem framing through deployment and ongoing evaluation. Collaborate effectively with data scientists, ML engineers, and cross-functional partners to design and deliver AI solutions that support business and scientific needs. Work with stakeholders to identify high-value opportunities for AI that enhance Commercial, Medical, and enterprise-level processes. Agentic AI & Framework Integration Build and optimize AI agents and orchestration workflows using modern agentic frameworks such as LangGraph, LlamaIndex, or CrewAI. Develop modular and reusable components for reasoning, retrieval, tool integration, and workflow automation. Develop end-to-end agentic frameworks incorporating agent connectors, MCP tools, and integrated interfaces, working closely with the Agentic UI team to ensure seamless product delivery. Modeling & Applied Machine Learning Design and deploy machine learning models, including applications in recommendation, personalization, and other ML-driven decision-support systems. Apply modern ML techniques, including embeddings, graph methods, and generative model integration to real-world healthcare and Commercial challenges. Build AI solutions for Commercial use cases in Healthcare and Life Sciences. Data Integration & MLOps Partner with data engineering teams to ensure scalable, ML-ready data pipelines and model monitoring. Utilize platforms such as Databricks to support model development, optimization, and operationalization. Cross-Functional E