QSP Postdoc: AI-Driven PK/PD Modeling

Initial Therapeutics, Inc.

Boston (MA)

On-site

USD 58,000 - 123,200

Full time

14 days+

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Job summary

Lilly seeks a highly motivated postdoctoral scientist to join the Global PKPD group to develop AI-powered QSP models that integrate deep biological knowledge, pharmacology, and preclinical/clinical data to drive pivotal decisions in drug discovery.

You will design and implement mechanistic ODE-based QSP models, perform parameter estimation and simulations, and communicate results across teams. This fixed-duration role offers opportunities for extension and competitive compensation.

Qualifications

  • PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics or related discipline.
  • Experience in developing QSP/mechanistic PKPD models or ODE-based models for biological systems.
  • Experience with virtual patient populations.
  • Proficiency in R, MATLAB/SimBiology, Python, NONMEM, Monolix or related software for model development.
  • Experience with parameter estimation and sensitivity analysis.

Responsibilities

  • Conduct literature, regulatory and database searches to inform model design and parameterization.
  • Design and implement an ODE-based QSP model capturing pharmacokinetics, target biology, and dynamics.
  • Perform parameter estimation, simulations and model analysis for drug discovery programs.
  • Apply models to inform dosing strategies, risk stratification, or translation questions.
  • Communicate modeling results to technical and non-technical audiences; collaborate cross-functionally.
  • Maintain documentation of model development.
  • Present findings at scientific conferences and publish peer-reviewed articles.
  • Author high quality scientific manuscripts.

Skills

QSP modeling
ODE-based PK/PD
Virtual populations
R
Python
MATLAB/SimBiology
NONMEM
Monolix
Parameter estimation
Sensitivity analysis

Education

PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics or related discipline

Tools

MATLAB/SimBiology
Python
NONMEM
Monolix

Job description

Lilly seeks a highly motivated postdoctoral scientist to join the Global PKPD group to develop AI-powered QSP models that integrate deep biological knowledge, pharmacology, and preclinical/clinical data to drive pivotal decisions in drug discovery.

You will design and implement mechanistic ODE-based QSP models, perform parameter estimation and simulations, and communicate results across teams. This fixed-duration role offers opportunities for extension and competitive compensation.

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