Software Engineer, Oncology Applications

$138,000 – $224,400 · Posted 1 day ago

San DiegoLast seen today

Summary

Build and integrate oncology applications across laboratory systems, data pipelines, and enterprise platforms at Eli Lilly. Develop AI-enabled capabilities for data retrieval, extraction, and analysis while owning application reliability, user support, and lifecycle planning. Deploy on Lilly cloud infrastructure using modern server-side frameworks (Python/Django/Flask preferred), front-end technologies (JavaScript/TypeScript), relational databases, and CI/CD pipelines. Mentor junior engineers and collaborate directly with scientific and operational stakeholders.

DevOps / Infrastructure Software Development AWS JavaScript Python SQL TypeScript Agentic AI AI Assisted Development API Development CI CD Code Review Containerization Data Governance Data Visualization Django Docker Enterprise Integration ETL Flask Git Git Based Collaborative Development LLM Apis Observability Relational Databases REST Apis Ruby On Rails Sensitive Data Handling Test Automation Version Control Web Applications Workflow Automation