Director- Quantitative Systems Pharmacology Scientist, PK/PD & Pharmacometrics

Eli Lilly and Company; Indianapolis (IN); On-site; USD 90,000 - 160,000; Full time

Job summary

An established industry player is seeking a passionate Scientific Director to lead a team of quantitative systems pharmacology scientists. This role involves supervising and developing talent while providing scientific leadership to enhance drug discovery efforts. The ideal candidate will have a strong background in quantitative modeling and a commitment to advancing innovative medicines. Join a dedicated team in Indianapolis and contribute to impactful health solutions that improve lives globally. This is a unique opportunity to push the boundaries of science and make a significant difference in the field of healthcare.

Qualifications

• PhD in relevant field with 5+ years of quantitative systems pharmacology experience.
• Previous people management experience required.

Responsibilities

• Supervise QSP scientists, manage performance and staff development.
• Provide scientific leadership for project teams in drug discovery.

Skills

Quantitative Systems Pharmacology Modeling

Interpersonal Communication

Mathematical Modeling

Team Collaboration

Self-Management

Education

PhD in Engineering, Biology, Computational Sciences, Mathematics, Pharmacokinetics/Pharmacodynamics

Master’s degree with 10+ years of industry experience

Tools

R

Matlab

Python

Job description

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 is committed to using its innovation-based strategy to discover, develop and deliver innovative medicines that help improve the lives of people. In support of this goal, the PKPD & Pharmacometrics (PMx) organization provides leadership and technical expertise to support the discovery and development of new medicines from preclinical lead molecule identification to clinical post-drug approval, with the goal of identifying and developing the right drug with the right dose for the right patient using model-informed drug research and development (MIDD) approaches. To further advance the science in this subject area, we are seeking a scientific director who will lead a group of quantitative systems pharmacology (QSP) computational scientists in supporting the portfolio.

We are passionate about making an impact in the lives of our patients, developing people to their full potential, and pushing the boundaries of science. Consider joining Team Lilly in Indianapolis to contribute to Lilly’s drug discovery and development efforts.

Key Responsibilities:

• Supervise a group of QSP scientists, with associated responsibilities including performance, resource allocation and staff development.
• Provide scientific leadership to project teams to support the selection of the right target, molecule, dose, patient population, and development strategies.
• Develop and implement modeling strategies, contribute to project team discussions, and guide decisions with quantitative approaches into drug discovery and/or development.
• Collaboratively develop platform models and modeling workflows that extend across multiple projects and phases of discovery & development.
• Communicate quantitative data, both internally and in the scientific community.

Basic Qualifications:

• PhD in Engineering, Biology, Computational Sciences, Mathematics, Pharmacokinetics/Pharmacodynamics, or a related field with 5+ years of relevant work experience with quantitative systems pharmacology modeling (QSP) in industry or academia.
• Master’s degree with 10+ years of industry experience and demonstrated impact (e.g., publications).
• Previous people management experience is required, though this may include management in a matrix environment.

Additional Skills/Preferences:

• Knowledge and expertise advancing and implementing QSP model-informed approaches in drug discovery and development.
• Strong interpersonal communication skills, including demonstrated experience working in a team environment.
• Direct experience with mathematical modeling workflows using relevant software such as R, Matlab, Python, etc.
• Adept at working with cross-functional colleagues.
• Excellent self-management and organizational skills.
• Familiarity or experience in immunology, cardiometabolic health, neuroscience or other therapeutic areas.