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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.…
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 Director of Enterprise Data & Analytics Architect will lead the design and scaling of Lilly's AWS-based data and AI platform, focusing on Databricks Lakehouse architectures to support commercial analytics and AI/ML initiatives. This role involves defining data strategy, ensuring governance compliance, and collaborating with cross-functional teams to operationalize data products and GenAI solut
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 Technical Lead Architect will drive the technology strategy and hands-on architecture for Lilly's Global Patient Safety portfolio, focusing on AI-driven solutions, pharmacovigilance systems, and GxP compliance. This role balances 70% technical execution with 30% strategic leadership to ensure scalable, secure, and compliant clinical trial and safety platforms.
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.
Design and build a Databricks lakehouse to modernize legacy clinical and non-clinical data platforms, writing PySpark pipelines and setting governance standards for AI-ready, audit-compliant data products.
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.
Technical Lead Architect responsible for the architecture, design, and integration of Global Patient Safety systems at a major pharmaceutical company, working with AI/ML, agentic workflows, cloud platforms, and safety systems like Veeva Safety and Oracle Argus.
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