Top Tech Jobs & Startup Jobs

The System Engineer - SAP Quality Management role at Lilly involves collaborating with Quality business partners, influencing business processes, and shaping the future using technology and information in new ways. Responsibilities include managing day-to-day operations, enhancements, and projects, identifying knowledge transfer needs, promoting process improvements, and delivering solutions on time and in a quality manner.

You'll be part of a collaborative team responsible for configuring and developing solutions within the SAP suite. This includes translating business requirements into software specifications, conducting unit and integration testing, and collaborating to deliver SAP improvements and projects.

The Global Robotics Project Manager leads large capital projects related to robotics and packaging, coordinating among various teams to ensure successful project delivery. Responsibilities include developing project strategies, cost estimations, compliance with safety standards, and maintaining communication with stakeholders. This role requires extensive experience in capital project delivery, primarily in pharmaceutical manufacturing, with a focus on meeting project targets effectively.

The Engineer in Capital Estimating and Project Control at Lilly will support global capital projects, ensuring compliance with standards, creating budget estimates, developing project schedules, and evaluating cost estimating systems. The role entails collaboration with various teams to analyze impacts of changes and maintain compliance with standard practices.

The Principal Process Engineer is responsible for providing engineering support in a bioprocess pilot plant, troubleshooting equipment, leading process change controls, ensuring compliance with quality systems, and supporting tech transfer of new processes. This role involves interaction with various departments for effective operations.

The Process Engineer ensures the reliable operation of equipment, overseeing safety and compliance. Responsibilities include troubleshooting, utilizing Root Cause Analysis, mentoring techs, driving continuous improvement, and participating in capital projects. Effective communication with process team members and customers is key.

The Visual Data Scientist collaborates with business teams to execute visual analytics efforts, develops enterprise-level analytics solutions and communicates results effectively. Responsibilities include maintaining proficiency in data science methodologies, influencing the adoption of innovative data visualizations, and consulting with domain experts to integrate advanced analytics into tools for non-expert users.