QSP postdoctoral scientist
Eli Lilly and Company
August 29, 2026
Remote friendly (Indianapolis, IN)
United States
Clinical Research and Development
Position Overview
Postdoctoral Scientist (Global PKPD) developing Quantitative Systems Pharmacology (QSP) models; develop and apply AI-powered QSP models integrating biological knowledge, pharmacology, and preclinical/clinical data.
Primary Responsibilities
- Conduct systematic literature, regulatory, and database searches to compile relevant preclinical and clinical data.
- Design and implement ODE-based QSP model structures capturing drug PK, target/receptor biology, and cellular/physiological dynamics.
- Perform parameter estimation, simulations, and model analysis to support drug discovery/development.
- Use validated models to generate insights for dosing strategies, risk stratification, and translational/clinical questions.
- Communicate results to technical and non-technical audiences; collaborate cross-functionally.
- Maintain model development documentation.
- Present findings at scientific conferences (e.g., ACoP, PAGE, ASCPT).
- Author peer-reviewed scientific articles.
Basic Qualifications
- PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics, or related.
- Experience developing QSP/mechanistic PKPD and/or ODE-based biological system models.
- Experience developing virtual patient populations.
- Proficiency with R, Matlab/Simbiology, Python, NONMEM, Monolix, or related tools.
- Experience with parameter estimation and sensitivity analysis.
- Authorization to work in the U.S. full-time (no visa sponsorship).
Additional Skills/Preferences
- T cell engager bispecifics and immunology knowledge.
- Understanding of PK/PD, pharmacology, and drug discovery/development.
- Interest in AI/ML integration; strong problem-solving and communication; strong publication record.
Additional Information / Benefits
- Fixed-term: 2 years (potential extension to 3); possible to apply for full-time roles afterward.
- Anticipated wage: $58,000–$123,200; company bonus eligibility; comprehensive benefits (401(k), pension, vacation, medical/dental/vision, flexible benefits, life insurance, time off/leave, well-being benefits).
Postdoctoral Scientist (Global PKPD) developing Quantitative Systems Pharmacology (QSP) models; develop and apply AI-powered QSP models integrating biological knowledge, pharmacology, and preclinical/clinical data.
Primary Responsibilities
- Conduct systematic literature, regulatory, and database searches to compile relevant preclinical and clinical data.
- Design and implement ODE-based QSP model structures capturing drug PK, target/receptor biology, and cellular/physiological dynamics.
- Perform parameter estimation, simulations, and model analysis to support drug discovery/development.
- Use validated models to generate insights for dosing strategies, risk stratification, and translational/clinical questions.
- Communicate results to technical and non-technical audiences; collaborate cross-functionally.
- Maintain model development documentation.
- Present findings at scientific conferences (e.g., ACoP, PAGE, ASCPT).
- Author peer-reviewed scientific articles.
Basic Qualifications
- PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics, or related.
- Experience developing QSP/mechanistic PKPD and/or ODE-based biological system models.
- Experience developing virtual patient populations.
- Proficiency with R, Matlab/Simbiology, Python, NONMEM, Monolix, or related tools.
- Experience with parameter estimation and sensitivity analysis.
- Authorization to work in the U.S. full-time (no visa sponsorship).
Additional Skills/Preferences
- T cell engager bispecifics and immunology knowledge.
- Understanding of PK/PD, pharmacology, and drug discovery/development.
- Interest in AI/ML integration; strong problem-solving and communication; strong publication record.
Additional Information / Benefits
- Fixed-term: 2 years (potential extension to 3); possible to apply for full-time roles afterward.
- Anticipated wage: $58,000–$123,200; company bonus eligibility; comprehensive benefits (401(k), pension, vacation, medical/dental/vision, flexible benefits, life insurance, time off/leave, well-being benefits).