Engineer - Systems Engineering - Labs
Listed on 2025-12-01
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IT/Tech
Systems Engineer
Overview
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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 work to discover and bring life-changing medicines to those who need them, improve understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We put people first and are looking for people who are determined to make life better for people around the world.
At Lilly, we believe in developing talent through internal opportunities. If you are seeking a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in to be considered. When applying internally, your current supervisor will be notified.
We encourage employees to discuss the opportunity with their supervisor prior to applying.
Your primary focus will be overseeing the design, implementation, and productization of Global Applications within the Labs portfolio, enabling Lilly to scale software products across the globe. Key activities include, but are not limited to:
- Manage Empower configuration, validation, and maintenance of the system, ensuring regulatory compliance and industry standards. Implement tools to enhance the Empower system, including AI to minimize user workload and integration with ELN and LES solutions.
- Manage Smart Lab configuration, validation, and maintenance of the system to ensure regulatory compliance and industry standards.
As an Engineer - Systems Engineering - Labs, you will work with business SMEs (Quality Control and Operational Excellence teams), cross-functional solution architects, and third-party service providers on the design, configuration, and implementation of various projects. You will use technical and business process knowledge to inform strategy and design choices that support standardized and streamlined processes and sustainable solutions.
How You Will Succeed- Collaborate with business stakeholders and cross-functional solution architects within the Labs, and with architects in the broader Quality function, to design reliable and efficient solutions for manufacturing laboratories.
- Work with application architects to influence the technical direction of software vendors, service providers, and service delivery teams.
- Leverage understanding of the laboratory environment, emerging technologies, and system functionalities to foresee future system requirements and business needs.
- Develop robust, stable, and resilient solutions with appropriate support processes, effective monitoring, and advanced error handling to ensure business continuity.
- Ensure compatibility, integration, interoperability, stability, scalability, and usability of products/services proposed as standards for an integrated architecture across interdependent technologies.
- Communicate complex technical information to both technical and non-technical stakeholders and influence decision making at senior leadership level.
- Drive site adoption of assigned solutions, aligning with Digital Strategy and considering internal and external trends in collaboration with Business SMEs.
- Coach and mentor peers to maintain technical capability commensurate with the criticality of delivered solutions.
- Review and approve documentation related to areas of responsibility (Validation Lifecycle documents, SOPs, policies, IQ/PQ protocols, etc.) as appropriate.
- Ensure adherence to quality, compliance, and data integrity requirements.
- Establish key relationships with business users and other Tech@Lilly areas.
- Demonstrated experience with core Lilly execution systems such as LES (Smart Lab), CDS (Empower), ELN (NuGenesis), and LIMS (Lab Vantage).
- Proficiency in SQL or other databases, Windows Server, Advanced Analytics, and REST APIs.
- Understanding of AI, ML, AR, Data Modeling, Cloud Computing (Azure/AWS), and Robotics technologies.
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