Advisor, Data Scientist — CMC Data Products

100 Eli Lilly and Company; Indianapolis (IN); On-site; USD 126,000 - 244,000; Full time

Benefits offered by this job

401(k) plan

Medical, dental, vision benefits

Paid time off

Well-being benefits

Job summary

100 Eli Lilly and Company in Indianapolis seeks a Data Scientist to lead enterprise-scale data product development powering AI-driven insights in CMC, PAT, and analytical domains.

You will bridge pharmaceutical science with modern data engineering to transform complex data into strategic assets, ensuring GxP compliance and enabling cross-functional collaboration with R&D, manufacturing, quality, and regulatory teams.

Qualifications

• PhD or MS with 0–5 years (or MS with 5+ years in pharma) relevant experience.
• Experience designing data products to support AI/ML workflows in scientific domains.
• Proficiency with SQL, Python, and data visualization tools.
• Knowledge of LIMS/ELN/SDMS data systems and their integration patterns.

Responsibilities

• Define roadmap and deliver AI-ready data products enabling AI/ML applications.
• Create data archetypes and models aligned with ISA-88/95, CDISC, eCTD.
• Implement data frameworks ensuring 21 CFR Part 11 and data integrity.
• Build training datasets for lab automation and predictive CQA models.
• Collaborate with analytics R&D, manufacturing science, quality, and regulatory affairs.

Skills

SQL

Python

Data Visualization

DoE knowledge

Education

PhD in Computer Science / Data Science / ML / AI

Master of Science in Computer Science / Data Science / ML / AI

Tools

Microsoft Fabric

Databricks

Airflow

AWS

Azure

Lambda/Glue

Job description

100 Eli Lilly and Company in Indianapolis seeks a Data Scientist to lead enterprise-scale data product development powering AI-driven insights in CMC, PAT, and analytical domains.

You will bridge pharmaceutical science with modern data engineering to transform complex data into strategic assets, ensuring GxP compliance and enabling cross-functional collaboration with R&D, manufacturing, quality, and regulatory teams.