The role involves developing and deploying advanced analytics solutions to support decision-making and optimize process outcomes in a global healthcare leader
Job Summary
The role involves developing and deploying advanced analytics solutions to support decision-making and optimize process outcomes in a global healthcare leader.
Candidates will create automated systems' digital twins to analyze input-output relationships and explore optimized process configurations within the manufacturing organization.
Eli Lilly offers a comprehensive benefit program including medical, dental, vision, 401(k), pension, and well-being benefits alongside an anticipated wage of $115,658.00 per year.
Matching Summary
The role involves developing and deploying advanced analytics solutions to support decision-making and optimize process outcomes in a global healthcare leader.
Salary
Base: $115,658.00 per year; Bonus/Equity: Company bonus depending on performance; Benefits: Comprehensive program including 401(k), pension, medical, dental, vision, and wellness perks
Skills & Requirements
Must-have
Machine learning techniques experience
Advanced statistical techniques application
Cross-functional team collaboration
Pharmaceutical manufacturing domain knowledge
Statistical computer languages proficiency
Data visualization tools usage
Data pipelines and ETL workflows
Nice-to-have
Digital transformation project support
Process optimization mindset
Decision-making support capabilities
Strong communication skills
Key Requirements
Bachelor's degree in Business Analytics, Computer Science, or related field
2 years experience with machine learning techniques
2 years experience with advanced statistical techniques
2 years experience in cross-functional teams
2 years experience in pharmaceutical manufacturing or healthcare services
1 year experience using R or Python
1 year experience with data visualization tools
1 year experience developing data pipelines or ETL workflows