QSP postdoctoral scientist

Scorpion Therapeutics; Indianapolis (IN); On-site; USD 58,000 - 123,000; Full time

Benefits offered by this job

401(k)

Medical/Dental/Vision coverage

Life insurance

Time off

Job summary

Scorpion Therapeutics in the United States seeks a Postdoctoral scientist (Global PKPD) to develop Quantitative Systems Pharmacology (QSP) models and apply AI-powered approaches to integrate biology, pharmacology, and preclinical/clinical data.

You will design ODE-based QSP structures capturing drug PK, target biology, and cellular/physiological dynamics; perform parameter estimation and simulations; and collaborate with cross-functional teams to inform dosing strategies and translational

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 modeling software such as R, Matlab/Simbiology, Python, NONMEM, Monolix, or related tools.
• Experience with parameter estimation and sensitivity analysis.
• Authorized to work in the United States full-time; Lilly does not sponsor visas/work authorization.

Responsibilities

• Conduct literature, regulatory, and database searches to compile preclinical/clinical data for model design and parameterization.
• 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 timely drug discovery/development decisions.
• 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 documentation; present at scientific conferences; author peer-reviewed articles.

Skills

QSP modeling

Parameter estimation

Sensitivity analysis

Python

R

MATLAB/SimBiology

NONMEM

Monolix

Team collaboration

Education

PhD in quantitative pharmacology or related field

Tools

R

MATLAB/SimBiology

Python

NONMEM

Monolix

Job description

Position Overview

Postdoctoral scientist (Global PKPD) developing Quantitative Systems Pharmacology (QSP) models; collaborate with cross-functional teams to develop and apply AI-powered QSP models integrating biology, pharmacology, and preclinical/clinical data.

Primary Responsibilities

• Conduct literature, regulatory, and database searches to compile preclinical/clinical data for model design and parameterization.
• 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 timely drug discovery/development decisions.
• 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 documentation; present at scientific conferences; author peer-reviewed articles.

Basic Qualifications / Required

• 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 modeling software.
• Experience with parameter estimation and sensitivity analysis.
• Authorized to work in the United States full-time; Lilly does not sponsor visas/work authorization.

Preferred Skills

• Knowledge of T cell engager bispecifics and immunology; PK/PD and drug discovery/development.
• Interest in AI/ML integration; strong problem-solving, organization, communication; strong publication record.

Additional Information / Benefits

• Fixed-term 2 years (potential to extend to 3 years).
• Anticipated wage: $58,000–$123,200; full-time roles may be eligible for bonus and comprehensive benefits (e.g., 401(k), medical/dental/vision, life insurance, time off, well-being).