Engineer – Drug Delivery Device Development

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research & Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient‑centric drug delivery solutions across a broad range of modalities — from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics.

DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars:
Delivery Systems, Robust & Sustainable, and Patient Experience + Outcomes.

The Data Engineering function is a foundational horizontal capability within DDCS's Data Sciences & Digital Transformation team, responsible for building and maintaining the data infrastructure that powers scientific discovery, device innovation, and data‑driven decision‑making across both innovation and commercialization verticals. Data engineers partner with data scientists, AI application engineers, and scientific ML engineers throughout the DDCS matrix to ensure data pipelines, architectures, and governance frameworks are robust, compliant, and purpose‑built for the unique demands of pharmaceutical device development.

We are seeking a talented Data Engineer to join DDCS's data science team. This role is critical in building and maintaining robust data infrastructure that enables scientific discovery, device innovation, and data‑driven decision‑making across the DDCS matrix. The ideal candidate will design and implement scalable data pipelines, establish efficient data management systems, and collaborate closely with data scientists and AI engineers to accelerate insights and predictive modeling capabilities—while maintaining rigorous compliance with GxP and regulated environment standards.

• Design, build, and maintain scalable data pipelines to support ingestion, processing, and transformation of structured and unstructured data from laboratory instruments, clinical trials, manufacturing systems, and IoT‑enabled medical devices.
• Develop and optimize ETL/ELT processes to ensure data quality, consistency, and availability across DDCS horizontals and program verticals.
• Implement automated data validation, monitoring, and alerting systems to ensure pipeline reliability and data integrity.
• Create and maintain comprehensive documentation of data pipelines, workflows, and architecture decisions.

• Assess organizational data needs and conduct data flow mapping across research, development, manufacturing, and regulatory functions.
• Design and maintain data warehouses, data lakes, and data marts optimized for analytics and machine learning workloads.
• Identify, evaluate, and implement suitable data management systems and storage solutions (cloud-based and on‑premises) that meet security, compliance, and scalability requirements.
• Establish and enforce data governance frameworks: data cataloging, metadata management, and access controls.
• Monitor and optimize database performance, query efficiency, and system resource utilization.
• Implement disaster recovery and business continuity plans for critical data systems.