Software Engineer, AI & Clinical Applications

Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana. They are seeking a Full-Stack Developer to engineer platforms and applications that support global clinical research efforts, focusing on AI-powered solutions to enhance clinical workflows and decision-making.

Responsibilities:

• Own capabilities from concept to production, partnering with business stakeholders to shape requirements, driving delivery through cross-functional teams, and ensuring solutions are adopted and sustained in a regulated environment
• Design, develop, and maintain full-stack applications that support clinical trial data workflows, statistical computing, and regulatory reporting pipelines
• Architect and build AI-powered and agentic applications, including LLM-integrated tools, multi-step autonomous agents, and MCP-based workflows that automate high-complexity tasks across the clinical and statistics organizations
• Collaborate closely with global statisticians and clinical data scientists to translate analytical requirements into robust, scalable software solutions, surfacing AI capabilities that meaningfully reduce manual effort
• Build and extend integrations across Lilly's clinical data ecosystem, including platforms such as CLUWE (Clinical Trial Data Platform), statistical computing environments (SCE), and downstream regulatory submission tooling
• Develop APIs, microservices, and data processing pipelines that handle sensitive clinical data in compliance with 21 CFR Part 11, GxP standards, and Lilly data governance policies, including AI systems operating in those environments
• Partner with DevOps and cloud engineering teams to deploy and maintain applications, including agentic systems, on enterprise cloud infrastructure
• Participate in Agile ceremonies, contribute to product roadmaps, and continuously improve engineering practices, code quality, and documentation
• Stay current on the rapidly evolving AI and agentic landscape, evaluating new frameworks and patterns that can be responsibly applied within Lilly's regulated development environment
• Serve as a trusted technology partner to clinical and statistics leadership, translating complex technical concepts into clear business value and actively contributing to roadmap prioritization, resource planning, and stakeholder alignment