Eli Lilly and Company

Lead the development and technical direction of digital health platforms at Lilly, shaping scalable software solutions that improve patient and healthcare experiences. This hybrid San Francisco role combines architecture leadership, platform innovation, regulatory alignment, and mentorship.

Build scientific software, data pipelines, APIs, MLOps infrastructure, and agentic platforms that enable AI-native drug discovery at Lilly. You will rapidly prototype solutions with discovery scientists and transition mature systems to enterprise teams for scaling.

Lilly is hiring a Systems Engineer to develop and deliver secure, scalable AI-enabled solutions for patient support systems. The role combines AI/ML solution design, cloud implementation, and cross-functional collaboration in a healthcare setting.

Lead the software integration layer connecting laboratory automation, data systems, and emerging AI capabilities for Lilly’s antibody discovery workflows. This role combines hands-on Python engineering, platform infrastructure, and technical leadership in pursuit of autonomous discovery.

Lilly seeks a senior/principal engineer to build agentic AI integrations that connect software with robotic laboratory platforms, analytical instruments, LIMS, and data pipelines. The role combines rapid prototyping, production deployment, and scientific collaboration to enable autonomous experimentation.

Lead forward-deployed AI engineering efforts that embed with drug discovery scientists and turn biological workflows into production AI systems. The role spans rapid prototyping, LLM-powered applications, evaluation, deployment, and platform feedback across therapeutic areas.

Build software for AI-integrated, closed-loop laboratory automation that accelerates biotherapeutics discovery. This role combines automated workflow orchestration, data platforms, machine learning, robotics integrations, and digital lab infrastructure.