PK/PD Data Scientist — AI-Driven PK Data Delivery

100 Eli Lilly and Company; Indianapolis (IN); On-site; USD 90,000 - 196,000; Full time

Job summary

Eli Lilly and Company is seeking a highly skilled PK Data Delivery specialist to ensure PK data are collected, transformed, validated, and delivered for model-informed drug development. You will collaborate with Data Management, statisticians, PK/PD leads, and pharmacometricians to create analysis-ready datasets and TFLs in regulatory compliance.

The role emphasizes R programming, automation, and AI-enabled solutions to improve efficiency, reproducibility, and traceability across PK data

Qualifications

• Master's degree in Statistics, Biostatistics, Computer Science, Data Science, Mathematics, or a related quantitative field.
• Experience with R or SAS programming.
• Experience with clinical trial data structures, clinical data standards, and statistical analysis concepts.
• Authorized to work in the United States on a full-time basis; visa sponsorship not provided by Lilly.

Responsibilities

• Develop independently validate PK analysis-ready datasets, PK-related SDTM domains, ADaM datasets, and TFLs per study specs and CDISC standards.
• Collaborate with cross-functional partners to anticipate data requirements and resolve PK data quality issues.
• Develop and implement R programming, automation, and AI-enabled solutions to improve efficiency, quality, and scalability of PKPD data delivery processes.

Skills

R programming

SAS programming

Clinical data expertise

CDISC standards knowledge

AI-assisted coding experience

Team collaboration

Education

Master's degree in Statistics/ Biostatistics/ CS/ Data Science/ Mathematics or related field

Tools

Git

Job description

Eli Lilly and Company is seeking a highly skilled PK Data Delivery specialist to ensure PK data are collected, transformed, validated, and delivered for model-informed drug development. You will collaborate with Data Management, statisticians, PK/PD leads, and pharmacometricians to create analysis-ready datasets and TFLs in regulatory compliance.

The role emphasizes R programming, automation, and AI-enabled solutions to improve efficiency, reproducibility, and traceability across PK data