Director​/Sr Director Pharmacometrics

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.

** About the Team*
* At Eli Lilly and Company, our Global Pharmacokinetics/Pharmacodynamics and Pharmacometrics (PMx) team is dedicated to advancing the discovery and development of innovative medicines through interdisciplinary collaboration and the application of cutting-edge quantitative science and technology. Our vision is to be leaders in model-informed drug discovery, development, and decision-making, cultivating a community of exceptional scientists who transform insight into impact, improving global health.

The PMx team operates across all phases of drug development and serves as a strategic scientific partner to project teams, regulatory functions, and senior leadership. We are currently investing in automation, AI/ML integration, and standardized modeling workflows to accelerate timelines and expand our impact.

** Role Overview*
* This role is designed for a scientist ready to operate as an enterprise-level scientific leader. The Director/Sr Director Pharmacometrics is expected to define which scientific problems matter (not just to solve them) and to shape PMx strategy across programs, platforms, and the broader organization. This is a high-visibility role with direct influence on drug development decisions, regulatory interactions, and team capability-building.

You will serve as a trusted scientific partner whose input is actively sought by cross-functional leaders, PKPD colleagues, and senior partners. Your impact will extend well beyond the immediate project portfolio.

** Key Responsibilities*
* ** Scientific & Technical Leadership*
* + Champion MIDD approaches across programs and platforms, defining and delivering novel PMx strategies that shape drug development decisions.

+ Resolve complex technical and scientific challenges with cross-program impact, contributing to exposure-response, dose justification, and regulatory submission strategies in collaboration with PKPD lead and across functions.

+ Engage proactively with regulatory agencies through meetings, responses, and advisory interactions.

** Partnership & People Development*
* + Inspire and elevate the scientists around you through scientific leadership, mentorship, and good examples.

+ Mentor scientists at all levels, building technical depth, scientific judgment, and confidence in others as a natural extension of how you work.

+ Create the conditions for others to succeed: share knowledge generously, open doors, and actively invest in bench strength and organizational capability.

** Automation, Innovation & AI Integration*
* + Champion adoption of automation tools and AI/ML approaches that deliver pragmatic, scalable value across the department and beyond.

+ External Visibility & Scientific Leadership

+ Build PMx's external reputation through publications and scientific leadership in industry and regulatory forums.

+ Communicate complex science with executive presence to diverse audiences, from project teams to senior leadership.

** Basic Qualifications*
* + PhD in a relevant scientific field such as PMx, biological/pharmaceutical sciences, bioengineering, biostatistics, computer science/engineering, data science, or a related discipline. with 5 years post PhD experience

+ Experience in population PKPD modeling, across multiple programs or development phases.

+ Experince in NONMEM and/or Monolix, and R.

** Additional Skills & Preferences*
* +

Experience with mrgsolve, Julia, Phoenix NLME, and/or MATLAB is highly valued.

+ Demonstrated ability to translate quantitative modeling outputs into clear scientific and regulatory narratives for cross-functional and non-specialist audiences.

+ Proven track…