Technical Lead Clinical Tech Results Systems

Posted 2 Days Ago
Be an Early Applicant
Indianapolis, IN, USA
In-Office
125K-183K Annually
Senior level
Healthtech • Biotech • Pharmaceutical
The Role
Lead technical design and delivery of clinical results data solutions: build scalable, secure, GxP-compliant integrations and services, embed AI-assisted engineering into results pipelines, resolve technical/data issues, mentor engineers, and influence cross-team engineering decisions.
Summary Generated by Built In

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 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. 
     

Basic Qualifications 

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. 

  • Engineering experience with depth and/or breadth in the discipline, recognized within a function or area. 

  • Experience in leveraging AI in day-to-day engineering. 

  • Experience across integration patterns, APIs, event-driven architecture, and cloud platforms (Azure, AWS, or GCP). 

  • Experience with anticipating and resolving 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. 

Preferred Qualifications 

  • 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 (https://careers.lilly.com/us/en/workplace-accommodation) 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.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).


Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

$124,500 - $182,600

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
  • Engineering experience with depth and/or breadth in the discipline, recognized within a function or area.
  • Experience leveraging AI in day-to-day engineering.
  • Experience with integration patterns, APIs, and event-driven architecture.
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Experience anticipating and resolving 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.
  • 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.
  • 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.

Eli Lilly and Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Eli Lilly and Company and has not been reviewed or approved by Eli Lilly and Company.

  • Retirement Support Feedback suggests long-term savings are bolstered by a defined-benefit pension alongside a company 401(k) match and retiree health options. These elements make total compensation feel strong beyond base salary.
  • Leave & Time Off Breadth Feedback suggests paid time off is expansive, with substantial vacation, company shutdown days, and milestone time. This breadth of leave is viewed as a meaningful part of overall rewards.
  • Parental & Family Support Feedback suggests family-building and caregiving support are robust, including paid parental leave, adoption or surrogacy assistance, and backup care. These programs enhance the perceived value of benefits across life stages.

Eli Lilly and Company Insights

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The Company
HQ: Indianapolis, IN
39,451 Employees
Year Founded: 1876

What We Do

Eli Lilly and Company engages in the discovery, development, manufacture, and sale of products in pharmaceutical products business segment. For more than a century, we have stayed true to a core set of values – excellence, integrity, and respect for people – that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities through philanthropy and volunteerism.

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