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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 Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
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 Cloud Security Analyst will manage vulnerability lifecycles and monitor multi-cloud environments to mitigate security risks. The role involves collaborating with cross-functional teams to implement security best practices and integrating automated security tools into CI/CD pipelines.
The Senior CE Data Engineer builds and maintains secure, scalable data pipelines on Databricks within a healthcare-regulated environment. The role focuses on implementing medallion architectures, data contracts, and PHI isolation controls to support AI-ready data products.
The Associate Director of CE Data Engineering leads a team in building and operating a PHI-compliant data platform on Databricks for pharmacy services. The role focuses on setting engineering standards, implementing CI/CD pipelines, and ensuring data quality and security within a regulated healthcare environment.
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.
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