Technical Lead Clinical Tech Results Systems

About the role

The Technical Lead provides senior hands-on engineering leadership for CT Results technology, owning the technical design and delivery of complex solutions that process, integrate, and surface clinical results data. At the P4 level, the role makes decisions that impact the function or geography, anticipates and resolves key technical problems, and drives solutions across the CT Results area. It influences complex technical issues, builds relationships across teams, and mentors engineers.

Responsibilities

• 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.

Qualifications

• 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.

Preferred Qualifications:

• 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.