Technical Lead Clinical Tech Results Systems

Overview

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. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

• Own the technical design and delivery of complex CT Results solutions—scalable, secure, resilient, and compliant.
• Anticipate and resolve key technical, operational, and data problems that impact the CT Results function.
• Embed AI-assisted engineering (code generation, automated testing, anomaly detection) and agentic capabilities into results data pipelines to accelerate delivery and improve quality.
• Serve as a key technical resource for CT Results, providing depth and breadth of engineering expertise.
• Make technical decisions, within functional, company, and industry guidelines, that impact the function.
• Lead technical design discussions and influence engineering decisions across teams, gaining support on difficult technical issues.
• Ensure results data solutions meet GxP, data-integrity, security, and performance requirements.
• Build integrations and services connecting results data across clinical systems using modern patterns (APIs, event-driven architecture).
• Mentor engineers and strengthen engineering and AI capability across the team.
• Partner with solution managers, architects, and stakeholders to align delivery to standards and roadmaps.

• High School Diploma or Equivalent.
• Substantial hands-on engineering experience with depth and/or breadth in the discipline, recognized within a function or area.
• Hands-on experience leveraging AI in day-to-day engineering.
• Strong proficiency across integration patterns, APIs, event-driven architecture, and cloud platforms (Azure, AWS, or GCP).
• Proven ability to anticipate and resolve key technical and data problems impacting a function.
• Experience leading technical design discussions and influencing engineering decisions across teams.
• Experience mentoring engineers and building technical capability.
• Qualified applicants must be authorized to work in the United States on a full-time basis.
• Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Strong communication skills, able to influence complex technical issues and present to varied audiences.
• Experience in clinical development, Good Clinical Practice (GCP), or a regulated (GxP) environment within pharmaceutical, biotech, or healthcare.
• Advanced degree in Computer Science, Engineering, or a related field.
• Hands-on experience integrating AI/agentic capabilities into data pipelines.
• Familiarity with clinical results data standards and data-integrity requirements.
• Experience with Kubernetes, Docker, CI/CD, and infrastructure-as-code.
• Relevant cloud or AI/ML certifications.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Compensation and benefits vary by location and candidate experience, with details provided during the interview process.