Statistician

About Eli Lilly and Company

Eli Lilly and Company is a global healthcare organization focused on discovering, developing, and delivering medicines that help people live longer, healthier, and more active lives. The company is headquartered in Indianapolis, Indiana, and its teams across the world work to improve disease understanding and management, support communities through philanthropy and volunteerism, and keep people at the center of their work.

Role Overview

This Project Statistician role within manufacturing is responsible for applying statistical thinking and the right analytical methods to support current and new products and processes. The position contributes to product and process development by using designed experiments, sampling methods, regression analysis, regulatory specification setting, control strategy development, and capability assessment.

Key Responsibilities

• Work with manufacturing teams to provide statistical expertise, design studies, analyze data, and help communicate evidence-based decisions that improve processes, deepen process understanding, support analytical methods, and strengthen stability studies.
• Create and refine control strategies for manufacturing processes and analytical assays, assess process control and capability, and help define suitable regulatory specifications.
• Explain statistical ideas and analytical findings clearly in individual discussions, presentations, and internal documentation.
• Build a strong understanding of the process and systems involved in manufacturing the active ingredient and/or finished drug product.
• Act as the statistical lead on cross-functional teams, offering guidance and problem-solving support across a variety of projects.
• Work collaboratively with colleagues across functions and maintain strong interpersonal effectiveness in a role that involves substantial interaction with customers, peers, and management.

Requirements

• A master’s degree in Statistics is required.
• Experience or exposure to chemistry, manufacturing, and controls (CMC) work is strongly preferred.
• Hands-on proficiency with statistical tools such as JMP, SAS, or R is preferred.
• Knowledge gained through coursework in experimental design, regression, Six Sigma, statistical process control and improvement, mixed models, and sampling is desirable.
• Strong written and verbal communication skills are essential.
• Background in drug development or manufacturing is an advantage.
• Ability to contribute to decision-making discussions and help move choices forward.
• Capacity to manage several priorities at once while working through ambiguity.
• Proven teamwork, interpersonal effectiveness, attention to detail, and problem-solving ability in a fast-moving environment.

Additional Information

The company is committed to providing equal opportunity for people with disabilities and offers an accommodation process for candidates who need help submitting a resume or applying. The accommodation request is intended only for application-related assistance. The company also states that it does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.

Location

This position is based in Kinsale, Ireland and is intended to be performed onsite.

Company Purpose

The organization emphasizes discovery, care, and innovation in service of patients worldwide, with a strong commitment to scientific progress, community support, and putting people first.