Technical Lead Clinical Tech Results Systems

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.

** Position Summary*
* 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.

Consistent with Lilly's technology direction, the Technical Lead is deeply technical and AI-skilled-embedding AI-assisted engineering and agentic capabilities into results data pipelines and championing modern, responsible engineering practice.

** Key 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 thatimpactthe CT Results function.

+ Embed AI-assisted engineering (code generation, automated testing, anomaly detection) and agentic capabilities intoresultsdata 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, thatimpactthe function.

+ Lead technical design discussions and influence engineering decisions across teams, gaining support on difficult technical issues.

+ Ensureresultsdata solutions meet

GxP, data-integrity, security, and performance requirements.

+ Build integrations and services connectingresultsdata 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.

** Basic 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 experienceleveragingAI in day-to-day engineering.

+ Strongproficiencyacross integration patterns, APIs, event-driven architecture, and cloud platforms (Azure, AWS, or GCP).

+ Proven ability toanticipateand resolve key technical and data problemsimpactinga 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 technicalissuesand 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, ora 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 (  ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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.

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