Executive Director – Product Development Statistics
Location: Indianapolis, Indiana, USA
Category: Research & Development
Job Type: Full-Time, Regular
Job ID: R-96350
About Lilly
Lilly is a global healthcare leader committed to discovering and delivering life-changing medicines. Headquartered in Indianapolis, Indiana, Lilly combines innovation, scientific rigor, and compassion to improve patient care, advance medical knowledge, and support communities worldwide.
Position Overview
Lilly is seeking an Executive Director of Product Development Statistics to provide strategic and statistical leadership across the product development portfolio. This senior role will lead the Product Development Statistics team in collaboration with chemists, biologists, formulators, and engineers, driving experimental design, analysis, and statistical excellence throughout nonclinical drug development projects.
The role requires both technical expertise and people leadership, ensuring the application of rigorous statistical methods, mentoring team members, and communicating the value of statistical insights to diverse scientific partners.
Key Responsibilities
Leadership & Team Management
Lead, coach, and mentor the Product Development Statistics team to achieve excellence.
Manage team performance, career development, and recruitment.
Develop departmental policies, set goals, and ensure alignment with organizational objectives.
Foster a collaborative work environment upholding Lilly’s values.
Statistical Leadership & Strategy
Provide statistical guidance at strategic and tactical levels across product development projects.
Ensure robust experimental design, process optimization, and analytical method development.
Oversee stability studies, formulation support, and chemical/biochemical process analysis.
Collaborate with cross-functional teams including Regulatory, Discovery, Development, Manufacturing, and Global Patient Safety.
Data Analysis & Experimental Design
Apply advanced statistical techniques, including Bayesian methods, multivariate analysis, and quality by design.
Develop and implement innovative statistical approaches to enhance drug development and manufacturing.
Support regulatory submissions by authoring or reviewing statistical sections in CMC documents.
Ensure effective communication of results through visualizations, presentations, and manuscripts.
Compliance & Standards
Maintain compliance with internal and external standards, SOPs, and corporate policies.
Promote statistical best practices and ensure high-quality scientific outputs.
Minimum Qualifications
Ph.D. in Statistics, Biostatistics, or Industrial Engineering.
Minimum 15 years of experience in the pharmaceutical industry.
Preferred Skills & Experience
At least 5 years in leadership or management of scientific teams.
Expertise in experimental design, Bayesian methods, and application of statistics to pharmaceutical development.
Strong strategic thinking, problem-solving abilities, and attention to detail.
Proficiency in R and JMP.
Excellent communication, teamwork, and negotiation skills for effective cross-functional collaboration.
Compensation & Benefits
Estimated Salary: $177,000 – $308,000 (dependent on experience and location).
Eligibility for company bonuses.
Comprehensive benefits including:
401(k) and pension plans
Medical, dental, vision, and prescription coverage
Flexible spending accounts
Paid vacation and leave benefits
Life insurance and dependent coverage
Employee assistance, fitness programs, and wellness benefits
Equal Opportunity Statement
Lilly is an Equal Employment Opportunity employer. All qualified applicants will receive consideration without discrimination based on age, race, gender, religion, sexual orientation, disability, veteran status, or any legally protected category. Accessibility accommodations are available for applicants during the hiring process.
Employee Resource Groups (ERGs): Black Employees at Lilly, PRIDE, Women’s Initiative for Leading at Lilly (WILL), Lilly India Network, OLA, VLN, enAble, and others supporting diversity and inclusion.
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