Senior Scientist, Global Sample Management & Data Steward

100 Eli Lilly and Company; Indianapolis (IN); Vor Ort; USD 65.000 - 169.000; Vollzeit

Benefits dieser Stelle

401(k)

Medical, dental, vision

Vacation benefits

Flexible benefits

Life insurance

Zusammenfassung

Lilly in Indianapolis, IN is seeking a Sr. Scientist / Principal Scientist within Global Sample Management to lead daily sample management operations and own the data behind the work.

You will enhance workflows for sample storage, handling, and registration, ensuring accuracy, quality, and regulatory compliance across GSM's systems. The role emphasizes collaboration with project teams, data governance, and building scalable processes; a BS/MS in a related field and 3–5+ years of lab or data

Qualifikationen

• BS or MS in Chemistry, Biology, Pharmaceutics, Informatics, Engineering, Logistics or related field.
• 3–5+ years of relevant laboratory or sample management or data stewardship experience.
• Authorized to work in the United States on a full-time basis.

Aufgaben

• Manage sample workflows from registration to storage and distribution.
• Support instrument qualification, maintenance, and troubleshooting.
• Ensure data integrity and governance across GSM systems.
• Collaborate with project teams to align sample needs with research goals.
• Develop SOPs and training materials for registration and data workflows.

Kenntnisse

LIMS experience

Automated liquid handling

Acoustic dispensing

SQL basics

Data governance

Sample management

Logistics knowledge

Problem solving

Ausbildung

BS or MS in Chemistry or Biology or related field

Tools

LIMS software

Jobbeschreibung

Lilly in Indianapolis, IN is seeking a Sr. Scientist / Principal Scientist within Global Sample Management to lead daily sample management operations and own the data behind the work.

You will enhance workflows for sample storage, handling, and registration, ensuring accuracy, quality, and regulatory compliance across GSM's systems. The role emphasizes collaboration with project teams, data governance, and building scalable processes; a BS/MS in a related field and 3–5+ years of lab or data