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At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters.…
The LabVantage Master Data Analyst supports Quality Control laboratory operations by configuring LIMS modules, managing master data, and developing integrations. The role involves leveraging AI and automation to ensure data integrity and regulatory compliance within a pharmaceutical manufacturing environment.
Lead data engineering for LillyDirect, a direct-to-patient pharmacy platform, building HIPAA-compliant data pipelines, consent governance, and semantic layers using SQL, Python, Databricks, and cloud DW tools in a regulated pharma environment.
This role involves leading the development of advanced AI and machine learning models to analyze workforce data and provide actionable insights for HR leaders. The position requires expertise in predictive modeling, statistical inference, and generative AI technologies to enhance the company's People Intelligence platform.
The Advisor AI/ML Engineer will design enterprise AI blueprints, lead applied research in LLMs and agentic systems, and manage MLOps pipelines for Lilly's commercial technology team. The role involves mentoring engineers and bridging cutting-edge AI research with scalable business outcomes using AWS, Azure, and Databricks.
The Translational Data Scientist will analyze multi-omics and human genetics data to validate therapeutic targets for cardiometabolic diseases. The role involves integrating complex biological datasets, collaborating with bench scientists, and utilizing modern AI tools to support drug discovery decisions.
Design, build, and sustain full-stack applications, APIs, data services, and automation tools for Lilly's Oncology division, partnering with scientists and engineers using Python, modern web frameworks, cloud infrastructure, and AI-assisted development.
Data Engineer building and maintaining scalable data pipelines and infrastructure using Databricks, PySpark, Python, SQL, and Delta Lake to support Eli Lilly's scientific and business initiatives.
The Technical Lead Architect will build and manage a semantic layer and knowledge graph to unify complex pharmaceutical data for AI agent consumption. This hands-on role involves designing ontologies, implementing agentic architectures, and leading engineering teams to deliver AI-assisted scientific workflows.
Hands-on Technical Lead Architect role owning end-to-end architecture for Clinical Supply & Delivery platforms at Lilly, building containerized services, CI/CD pipelines, cloud infrastructure, data pipelines, and agentic AI architecture on AWS.
The Test Architect / Tech Lead will design and build reusable test automation frameworks and application architecture for Lilly's Global Regulatory Affairs and Scientific Communications platforms. The role focuses on scaling quality engineering for generative and agentic AI systems, including RAG validation and LLM evaluation.
Designs and owns digital manufacturing solutions (e.g., predictive maintenance dashboards, audit trails) using Python, Seeq, and Power BI to improve global pharma operations.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
Lead a team to design and implement end-to-end test automation for AI-powered healthcare systems, validating LLMs, RAG pipelines, and model outputs using frameworks like RAGAS and DeepEval.
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