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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.
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.
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.…
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.
Own and lead the identity and access product roadmap for Lilly’s consumer systems, setting AI automation strategy for SSO, authentication, and consent while ensuring compliance in a regulated healthcare environment.
Design, automate, and maintain enterprise Linux platforms (RHEL, Ubuntu, SUSE) across on-prem, cloud, and hybrid environments using Ansible, GitOps, and IaC to deliver Linux as a Service.
Analyze U.S. payer formulary data (MMIT) to track drug coverage and restrictions, then build AI-powered dashboards and reports for market-access strategy at a global pharmaceutical company.
Build and maintain Databricks/AWS pipelines and lakehouse architectures to power consumer analytics and AI-driven insights for a global pharmaceutical company.
Leads the design and automation of privacy, AI, and data governance controls for a large healthcare company, translating regulations into auditable, scalable systems while partnering with cybersecurity teams.
Build AI systems to extract and analyze clinical trial data, biobank cohorts, and omics profiles to discover patient phenotypes and disease subtypes for drug development.
Leads GenAI software products at a global pharma company, defining vision, strategy, and execution while collaborating with engineering and design teams to deliver patient-focused solutions using modern tech stacks.
Lead the design and implementation of Microsoft Fabric-based data pipelines and governance for Lilly’s Integrated Risk Management program, integrating risk platforms like ServiceNow GRC and SAP to deliver real-time, AI-ready risk datasets for analytics and decision-making.
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