Senior Real-World Data Statistician

Eli Lilly and Company; Indianapolis (IN); On-site; USD 152,000 - 244,000; Full time

Job summary

Lilly in Indianapolis, IN, seeks a Real-World Data (RWD) Project Statistician to design and analyze non-interventional studies using real-world data sources such as claims and EHRs. You will collaborate across epidemiology, HEOR, and data science to deliver rigorous evidence for regulatory, payer, and market access applications.

Responsibilities include selecting statistical methods, developing protocols, ensuring data quality, and leading projects with cross-functional teams.

Qualifications

• PhD in Statistics/biostatistics/epidemiology or related quantitative field with hands-on RWE analysis experience.
• Experience applying causal inference methods to comparative effectiveness or safety questions is required.
• Proficiency in SAS, R, Python, SQL and data platforms is expected.

Responsibilities

• Design non-interventional studies and write protocols aligned with regulatory guidance.
• Select and justify statistical methods for observational data analyses.
• Collaborate with data science for data quality and validation tasks.
• Lead projects and communicate results to cross-functional teams.

Skills

Statistical programming

R

Python

SQL

Teamwork

Communication

Leadership

Causal inference

Education

Ph.D. in Statistics/Biostatistics/Epidemiology or related quantitative field

Tools

OMOP/OHDSI

Sentinel

Databricks

Spark

SAS

R

Python

Job description

Lilly in Indianapolis, IN, seeks a Real-World Data (RWD) Project Statistician to design and analyze non-interventional studies using real-world data sources such as claims and EHRs. You will collaborate across epidemiology, HEOR, and data science to deliver rigorous evidence for regulatory, payer, and market access applications.

Responsibilities include selecting statistical methods, developing protocols, ensuring data quality, and leading projects with cross-functional teams.