Senior Manager, AI and Data Science
Madrigal Pharmaceuticals
August 21, 2026
Remote friendly (Conshohocken, PA)
United States
IT
Key Responsibilities
- Build and operate production AI agents and orchestration workflows (e.g., LangGraph, deepagents).
- Design modular components for reasoning, retrieval, tool integration (including MCP), and workflow automation.
- Partner with the Agentic UI team to deliver end-to-end products.
- Own and optimize retrieval stack (vector/hybrid search, embeddings, chunking, reranking).
- Build evaluation/regression safeguards for LLM outputs (citation faithfulness, groundedness).
- Design and deploy ML on real-world evidence (claims, EHR, registry), HEOR, and field-medical data to surface Medical Affairs insights.
- Apply embeddings, predictive models, and statistical methods where appropriate.
- Automate and scale data ingestion pipelines into AI/ML-ready data (e.g., Databricks).
- Own deployment, monitoring, and observability (e.g., LangSmith) for shipped systems.
- Translate complex AI concepts for technical and non-technical Medical Affairs partners.
- Align AI initiatives with governance, privacy, PHI, and compliance expectations.
Qualifications
Required
- Ph.D. (quantitative/medical-adjacent) with first-author publications OR strong engineering background with peer-reviewed research.
- 7+ years applied ML/data science; 3+ years shipping ML/AI to production.
- 1+ year hands-on agentic AI (e.g., LangGraph, deepagents, LangSmith).
- Strong RAG/retrieval engineering; ability to evaluate groundedness and citation accuracy.
- Applied ML on real-world/patient data (claims/EHR/registry), including feature engineering.
- Experience with production reliability, data access/authentication, and handling PHI.
- Strong communication; cross-functional collaboration.
- Healthcare or Life Sciences experience.
Preferred
- Production experience: deepagents, LangGraph, LangSmith; MCP tools; Azure; Databricks Unity Catalog/Microsoft Fabric/OneLake.
- Track record deploying agents at scale with LLM evaluation/observability.
- Background in RWE, epidemiology, or HEOR analytics.
- Medical Affairs experience.
Benefits (explicit)
- Base pay range: $163,000–$200,000/year; equity.
- Comprehensive benefits: flexible PTO; medical/dental/vision; life/disability; 401(k) (traditional/Roth/match); supplemental life/legal services; EAP mental health benefits.
Application instructions
- Apply via Madrigal Careers site (accepted on an ongoing basis).
- Build and operate production AI agents and orchestration workflows (e.g., LangGraph, deepagents).
- Design modular components for reasoning, retrieval, tool integration (including MCP), and workflow automation.
- Partner with the Agentic UI team to deliver end-to-end products.
- Own and optimize retrieval stack (vector/hybrid search, embeddings, chunking, reranking).
- Build evaluation/regression safeguards for LLM outputs (citation faithfulness, groundedness).
- Design and deploy ML on real-world evidence (claims, EHR, registry), HEOR, and field-medical data to surface Medical Affairs insights.
- Apply embeddings, predictive models, and statistical methods where appropriate.
- Automate and scale data ingestion pipelines into AI/ML-ready data (e.g., Databricks).
- Own deployment, monitoring, and observability (e.g., LangSmith) for shipped systems.
- Translate complex AI concepts for technical and non-technical Medical Affairs partners.
- Align AI initiatives with governance, privacy, PHI, and compliance expectations.
Qualifications
Required
- Ph.D. (quantitative/medical-adjacent) with first-author publications OR strong engineering background with peer-reviewed research.
- 7+ years applied ML/data science; 3+ years shipping ML/AI to production.
- 1+ year hands-on agentic AI (e.g., LangGraph, deepagents, LangSmith).
- Strong RAG/retrieval engineering; ability to evaluate groundedness and citation accuracy.
- Applied ML on real-world/patient data (claims/EHR/registry), including feature engineering.
- Experience with production reliability, data access/authentication, and handling PHI.
- Strong communication; cross-functional collaboration.
- Healthcare or Life Sciences experience.
Preferred
- Production experience: deepagents, LangGraph, LangSmith; MCP tools; Azure; Databricks Unity Catalog/Microsoft Fabric/OneLake.
- Track record deploying agents at scale with LLM evaluation/observability.
- Background in RWE, epidemiology, or HEOR analytics.
- Medical Affairs experience.
Benefits (explicit)
- Base pay range: $163,000–$200,000/year; equity.
- Comprehensive benefits: flexible PTO; medical/dental/vision; life/disability; 401(k) (traditional/Roth/match); supplemental life/legal services; EAP mental health benefits.
Application instructions
- Apply via Madrigal Careers site (accepted on an ongoing basis).