QSP postdoctoral scientist
Eli Lilly and Company
August 08, 2026
Remote friendly (Boston, MA)
United States
Clinical Research and Development
Position Overview
Postdoctoral scientist in Global PKPD to develop Quantitative Systems Pharmacology (QSP) models and apply AI-powered QSP integrating biology, pharmacology, and preclinical/clinical data.
Primary Responsibilities
- Conduct literature/regulatory/database searches to compile preclinical and clinical data for model design and parameterization.
- Design and implement an ODE-based QSP model capturing drug PK, target/receptor biology, and cellular/physiological dynamics.
- Perform parameter estimation, simulations, and model analysis to support drug discovery/development decisions.
- Apply validated models to generate quantitative insights for dosing strategies, risk stratification, and translational/clinical questions.
- Communicate results to technical and non-technical audiences; collaborate cross-functionally.
- Maintain documentation of model development.
- Present findings at scientific conferences.
- Author peer-reviewed scientific articles.
Qualifications
- PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics, or related field.
- Experience developing QSP/mechanistic PKPD or ODE-based biological system models.
- Experience developing virtual patient populations.
- Proficiency in R, Matlab/Simbiology, Python, NONMEM, Monolix (or related).
- Experience with parameter estimation and sensitivity analysis.
- Must be authorized to work in the United States full-time; Lilly does not sponsor visas.
Additional Skills/Preferences
- Knowledge of T cell engager bispecifics/immunology; understanding of PK/PD and drug discovery/development.
- Interest in integrating AI/ML tools into modeling workflows.
- Strong problem-solving, time management, and communication; strong publication record.
Additional Information
- Fixed-duration 2 years (potential extension to 3); possible to apply for full-time roles after completion.
Compensation/Benefits (as stated)
- Anticipated wage: $58,000–$123,200.
- Eligible for company bonus (for full-time equivalents) and comprehensive benefits (401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave, well-being).
Postdoctoral scientist in Global PKPD to develop Quantitative Systems Pharmacology (QSP) models and apply AI-powered QSP integrating biology, pharmacology, and preclinical/clinical data.
Primary Responsibilities
- Conduct literature/regulatory/database searches to compile preclinical and clinical data for model design and parameterization.
- Design and implement an ODE-based QSP model capturing drug PK, target/receptor biology, and cellular/physiological dynamics.
- Perform parameter estimation, simulations, and model analysis to support drug discovery/development decisions.
- Apply validated models to generate quantitative insights for dosing strategies, risk stratification, and translational/clinical questions.
- Communicate results to technical and non-technical audiences; collaborate cross-functionally.
- Maintain documentation of model development.
- Present findings at scientific conferences.
- Author peer-reviewed scientific articles.
Qualifications
- PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics, or related field.
- Experience developing QSP/mechanistic PKPD or ODE-based biological system models.
- Experience developing virtual patient populations.
- Proficiency in R, Matlab/Simbiology, Python, NONMEM, Monolix (or related).
- Experience with parameter estimation and sensitivity analysis.
- Must be authorized to work in the United States full-time; Lilly does not sponsor visas.
Additional Skills/Preferences
- Knowledge of T cell engager bispecifics/immunology; understanding of PK/PD and drug discovery/development.
- Interest in integrating AI/ML tools into modeling workflows.
- Strong problem-solving, time management, and communication; strong publication record.
Additional Information
- Fixed-duration 2 years (potential extension to 3); possible to apply for full-time roles after completion.
Compensation/Benefits (as stated)
- Anticipated wage: $58,000–$123,200.
- Eligible for company bonus (for full-time equivalents) and comprehensive benefits (401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave, well-being).