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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 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.
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.
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.
Technical Data Product Owner leading the strategy, roadmap, and Agile delivery of a pharmacy/healthcare data hub, collaborating with data engineering, compliance, and business teams on cloud-based data platforms in a HIPAA-regulated pharmaceutical environment.
Designs and owns digital manufacturing solutions (e.g., predictive maintenance dashboards, audit trails) using Python, Seeq, and Power BI to improve global pharma operations.
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.
Owns Finance data products that power AI, analytics, and automation for a global pharma company, partnering with engineering to deliver trusted, scalable data solutions.
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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