Project Statistician; R2-R4

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Eli Lilly and Company seeks a Project Statistician (R2‑R4) to support current and new products and processes, driving and sustaining statistical thinking and appropriate use of statistical methodologies. Provide statistical expertise, study design, and communicate data‑driven decisions for process improvements, method development and validation, assay transfer, and stability studies. Establish control strategies for manufacturing processes and analytical assays. Communicate study results and statistical concepts in one‑on‑one meetings, oral presentations, internal reports, and presentations at professional association meetings.

• Support current and new products and processes, driving and sustaining statistical thinking and methodologies.
• Provide statistical expertise, study design, and communicate data‑driven decisions for process improvements, method development and validation, assay transfer, and stability studies.
• Establish control strategies for manufacturing processes and analytical assays.
• Communicate study results and statistical concepts through meetings, oral presentations, internal reports, and at professional association meetings.

• Master’s degree in Biostatistics, Statistics, or a related STEM field.
• Minimum 1 year of academic or employment experience implementing statistical analyses and communicating results.
• Experience with statistical programming software (SAS or R).
• Experience investigating raw data issues identified during statistical analysis.
• Experience with regression analysis and experimental design.
• Part‑time telecommuting benefit available.

Indianapolis, IN.

Actual compensation will depend on candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $46,842.00 - $ per year.

Full‑time employees will also be eligible for a company bonus (depending on company and individual performance). Lilly offers a comprehensive benefit program including 401(k), pension, vacation benefits, medical, dental, vision, prescription drug benefits, flexible benefits, life insurance, death benefits, time off and leave of absence benefits, and well‑being benefits such as employee assistance program, fitness benefits, and employee clubs.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.