Sr. Principal Scientist - MES Data and Integration Lead
Listed on 2026-06-24
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Engineering
Quality Engineering, Systems Engineer
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 around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.
We’re looking for people who are determined to make life better for people around the world.
Lilly is currently constructing an advanced manufacturing facility for production of API molecules located in Lebanon, IN (Lilly Lebanon API). This facility is Lilly’s largest investment in manufacturing capacity and is intended to provide APIs for current and future products, including new modalities. This is a unique opportunity to be a part of the startup team for a greenfield manufacturing site, and the successful candidate will help to build the processes and facility to enable a successful startup into GMP manufacturing operations.
The Sr Principal Scientist, MES Data and Integration Lead is a critical role supporting design, deployment, and sustained operation of the Manufacturing Execution System (MES)/Electronic Batch Record (E ) within Lilly’s Lebanon API Manufacturing site. MES is foundational to enabling compliant, efficient, and digital-first GMP operations and the successful candidate will play a key role in translating manufacturing requirements into executable MES solutions, supporting system ownership responsibilities, and ensuring MES-enabled processes are robust, scalable, and inspection-ready.
This position requires comprehensive knowledge of the pharmaceutical industry, regulatory requirements, and the essential role scientists and engineers play in making medicine and creating real-world solutions. The successful candidate will represent TS/MS (Technical Services) as a business SME and act as a liaison between process scientists and automation designers. This role will focus on ensuring MES readiness through strong data governance and technical alignment of enterprise system integrations.
You’ll work at the boundary of process data and manufacturing execution — with opportunities to leverage MES-generated data for continuous improvement and performance analytics.
Key Objectives/Deliverables- Serve as MES/E SME for assigned API manufacturing areas, supporting process design, system configuration, and operational readiness.
- Working with process SMEs to review and approve Product Lifecycle Management (PLM) parameters required for MES configuration.
- Ensuring complete and accurate migration of product and process data into production MES environments.
- Supporting MES system ownership activities and providing backup coverage.
- Partnering with DeltaV, SAP, and Digital Technology teams to support integration readiness, reporting, and operational dashboards following go-live.
- Partner with Operations, QA, Engineering, Automation, and Validation to ensure integrated execution and issue resolution.
- Drive standardization, harmonization, and best practices across manufacturing areas where appropriate.
- Leading MES training for operational readiness, including review and approval of training materials and coordination of rollout.
- Bachelor’s degree in Science, Engineering, or related field.
- Minimum 5 years experience including 2 years within a GMP manufacturing environment or equivalent regulated manufacturing environment.
- Demonstrated history of working across multi-disciplinary teams in the Automation/MES space.
- 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.
- Prior experience implementing electronic batch records preferred but not required.
- Proficiency in data analysis, ability to prioritize, attention to detail, critical decision-making skills, complex problem-solving abilities.
- Proven ability to work…
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