Principal Statistician - Computation (R3)

Lilly • Indianapolis, IN

3d

About The Position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Eli Lilly and Company seeks a Principal Statistician - Computation (R3) to collaborate with other statistical colleagues to provide input to statistical analysis plans. Assist in selecting statistical methods for data analysis, authoring the corresponding sections of the data analysis plan, and conducting the actual analysis once a reporting database is created. Collaborate with data management in the planning and implementation of data quality assurance plans. Apply SAS programming and statistical methodology to new and varied methods. Understand relevant disease states in order to enhance the level of customer focus and collaboration. #LI-DNI

Requirements

• Master’s degree in Statistics, Biostatistics, or related field and academic or employment experience in statistical programming language/software such as SAS (Base, Macro, and STAT modules) and R (tidyverse, ggplot2, and Shiny)
• experience with clinical trial data standards, including CDISC SDTM and ADaM datasets, and use of Pinnacle 21 for compliance validation
• experience with clinical study deliverables, including generating tables, figures, and listings (TFLs), and statistical outputs for CSR and regulatory submissions (e.g. FDA, EMA)
• experience with regulatory guidelines, such as ICH E9 (Statistical Principles for Clinical Trials) and ICH E3 (Structure and Content of Clinical Study Reports)
• experience with version control and collaboration tools, including Git/GitHub for source code management
• experience with Spotfire, SAS ODS Graphics, and automating report generation using R Markdown or SAS ODS

Responsibilities

• collaborate with other statistical colleagues to provide input to statistical analysis plans
• Assist in selecting statistical methods for data analysis, authoring the corresponding sections of the data analysis plan, and conducting the actual analysis once a reporting database is created
• Collaborate with data management in the planning and implementation of data quality assurance plans
• Apply SAS programming and statistical methodology to new and varied methods
• Understand relevant disease states in order to enhance the level of customer focus and collaboration

Benefits

• eligibility to participate in a company-sponsored 401(k)
• pension
• vacation benefits
• eligibility for medical, dental, vision and prescription drug benefits
• flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
• life insurance and death benefits
• certain time off and leave of absence benefits
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees