The role involves developing and deploying advanced analytics solutions to support decision-making and optimize process outcomes in pharmaceutical manufacturing
Job Summary
The role involves developing and deploying advanced analytics solutions to support decision-making and optimize process outcomes in pharmaceutical manufacturing.
Candidates must have at least two years of experience with machine learning techniques and advanced statistical concepts applied in real-world scenarios.
Eli Lilly offers a comprehensive benefit program including medical, dental, vision, 401(k), pension, and various well-being benefits.
Matching Summary
The role involves developing and deploying advanced analytics solutions to support decision-making and optimize process outcomes in pharmaceutical manufacturing.
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 knowledge
Cross-functional team collaboration
Pharmaceutical manufacturing background
Statistical computer languages proficiency
Data visualization tools usage
Data pipelines or ETL workflows
Nice-to-have
Digital transformation project support
Process optimization expertise
Strong communication skills
Commitment to making life better
Willingness to travel up to 5%
Key Requirements
Bachelor's degree in Business Analytics, Computer Science, IT, or related field
2 years experience in data analytics solutions
2 years experience in pharmaceutical manufacturing or healthcare services
1 year experience using R or Python
1 year experience with data visualization tools like Power BI or Tableau