> Markdown version of [/jobs/ext/2595300-manager-ai-and-data-science](https://www.wearedevelopers.com/jobs/ext/2595300-manager-ai-and-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, AI and Data Science - **Company:** Madrigal Pharmaceuticals - **Location:** Conshohocken, PA, United States - **Experience:** Expert - **Salary:** $163,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, User Authentication, Microsoft Azure, Data Integration, Data Security, Design of User Interfaces, Human-Computer Interaction, Machine Learning, Language Modeling, Feature Engineering, Large Language Models, Electronic Medical Records, Microsoft Fabric, Machine Learning Operations, Virtual Agents, Databricks, Programming Languages - **Published:** August 1, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-manager-ai-and-data-science-conshohocken-pa--0ffac5b6-2d62-42f1-a2e4-72c1c2e5aaf7 ## About the Role * A demonstrated record of scientific rigor: either a Ph.D. in a quantitative or medical-adjacent field with first-author publications, or a strong engineering background paired with peer-reviewed research at top venues (for example, NeurIPS, ICML, ICLR, or ML4H). The specific credential matters less than the demonstrated rigor and record of shipping. * 7+ years of applied machine learning or data science, including 3+ years shipping ML or AI systems to production. * 1+ year of hands-on agentic AI development using modern frameworks (for example, LangGraph, deepagents, or LangSmith). * Strong RAG and retrieval engineering, including vector and hybrid search, embeddings, and reranking, with the ability to evaluate groundedness and citation accuracy. * Applied ML on real-world or patient-level data (claims, EHR, registry), including feature engineering. * Experience with production reliability, data access and authentication, and handling sensitive (PHI) data. * Strong communication skills and the ability to collaborate across scientific, technical, and business teams. * Experience in Healthcare or Life Sciences. Preferred * Production experience with deepagents, LangGraph, and LangSmith; MCP tools; Azure; and Databricks Unity Catalog, Microsoft Fabric, or OneLake. * Proven track record of deploying agents to production at scale, including LLM evaluation and observability. * Background in real-world evidence, epidemiology, or HEOR analytics. * Medical Affairs experience., Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Programming Languages, Authentication, Automation, Biology, Biotech and Pharmaceutical, Combat Support Hospital (CSH), Communication Skills, Comparator, Cross-Functional, Data Science, Disease, Epidemiology, FDA (Food and Drug Administration), Federal Laws and Regulations, Healthcare, MCP - Microsoft Certified Professional, Machine Learning, Medical Affairs, Medical Record System, Medications, Microsoft Windows Azure, Modeling Languages, Patient Care, Phase III Clinical Trials, Predictive Modeling, Production Support, Production Systems, Publications, Purchasing/Procurement, Scientific Publications, State Laws and Regulations, Statistical Modeling, Team Player, User Interface/Experience (UI/UX) ## Description Agentic AI Systems * Build and operate production AI agents and orchestration workflows using modern agentic frameworks such as LangGraph and deepagents. * Design modular, reusable components for reasoning, retrieval, tool integration (including MCP), and workflow automation. * Partner with the Agentic UI team to deliver seamless, end-to-end products. Retrieval, RAG & Evaluation * Own and optimize the retrieval stack, including vector and hybrid search, embeddings, chunking, and reranking. * Build evaluation and regression safeguards for LLM outputs, with particular attention to citation faithfulness and groundedness, which are essential in Medical Affairs. Applied Machine Learning on Real-World Evidence * Design and deploy machine learning 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 they are the right fit for the problem. Data Integration & MLOps * Automate and scale data-ingestion pipelines into AI/ML-ready data on platforms such as Databricks * Own deployment, monitoring, and observability (for example, using LangSmith) for the systems you ship. Cross-Functional Engagement & Governance * Translate complex AI concepts into clear, actionable insights for technical and non-technical Medical Affairs partners. * Align AI initiatives with enterprise governance, privacy, and PHI and compliance expectations. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP](https://www.wearedevelopers.com/videos/1454-beyond-prompting-building-scalable-ai-with-multi-agent-systems-and-mcp) - [How to Stop Your Agents From Going Rogue - Arnav Gupta](https://www.wearedevelopers.com/videos/2152-how-to-stop-your-agents-from-going-rogue-arnav-gupta) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)