Support procurement and strategic sourcing activities across multiple categories, including spend analysis, sourcing execution, vendor coordination, reporting, and process adherence.
Responsibilities
Perform spend analysis and reporting to support procurement initiatives
Support RFP/RFQ processes, vendor communication, and bid evaluation
Prepare cost models, sourcing comparisons, and evaluation summaries
Maintain supplier data, contracts repository, and sourcing documentation
Track sourcing projects, savings, and compliance metrics
Lead the DevOps backbone for clinical data products, ensuring data assembly, transformation, and publication to CDISC standards and risk‑based monitoring.
Responsibilities
Operate, improve, and scale data solutions for clinical trials
Ensure adherence to IRT and IT standards
Monitor and drive system change requests
Advise study teams on data product design
Own day‑to‑day application operations
Requirements
Bachelor's or master's degree in computer science or life science
Business & Technical Calypso Analyst in the banking sector, responsible for functional and technical analysis, configuration, testing, and support of Calypso solutions.
Responsibilities
Participar en el análisis funcional y técnico de soluciones desarrolladas sobre Calypso.
Recoger y analizar requisitos de negocio, elaborando documentación funcional y técnica.
Desarrollar, configurar y validar workflows de Calypso.
Participar en procesos de emparejamiento de mensajes (Message Matching).
Diseñar y ejecutar pruebas unitarias, de regresión y del ciclo de vida de las operaciones.
CBG Process Engineer supporting Corning’s Bendable Glass business by integrating data analytics with practical engineering execution.
Responsibilities
Analyze process, manufacturing, and quality data to support engineering decisions, troubleshooting, and problem solving across multiple CMs and manufacturing sites.
Prepare, clean, validate, organize, and structure data from manufacturing, quality, inspection, equipment, and measurement systems to ensure data integrity and analytical reliability.
Apply appropriate statistical and analytical methods to identify process trends, performance gaps, and potential improvement opportunities, and support hypothesis-driven investigations.
Support engineering trials, experiments, and process improvement activities through data collection, analysis, interpretation, and evaluation of results.
Contribute to day-to-day engineering execution, including process troubleshooting, technical documentation, action follow-up, process monitoring, and implementation of improvement actions.
Requirements
BS degree or above in Chemical Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, Data Analytics, Statistics, Computer Science, or a related technical field
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