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The Data Scientist will develop and deploy advanced analytics and predictive models to optimize pharmaceutical manufacturing processes. They will collaborate with cross-functional teams to ensure data quality and compliance while driving digital transformation initiatives.
The Machine Learning & Data Operations Engineer will build and maintain ML/AI infrastructure to support drug discovery, focusing on model deployment, scalable inference, and robust data pipelines. The role involves managing the full lifecycle of models and data quality using technologies like Kubernetes, Python, Go, and various cloud-native tools.
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.
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 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.
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.
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.
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.
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.
Internship role assisting with AI platform exploration, POC development, and adoption support using Microsoft Copilot and related tools.
Build and maintain Databricks/AWS pipelines and lakehouse architectures to power consumer analytics and AI-driven insights for a global pharmaceutical company.
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