Hybrid Modeling & Simulation Scientist — AI-Driven Pharma

Simulations-Plus,-Inc

Antony

Hybrid

EUR 50,000 - 60,000

Full time

14 days+

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Benefits offered by this job

Hybrid work options
Flexible schedules
Annual bonus

Job summary

Simulations Plus is seeking a Modeling and Simulation Scientist for the MonolixSuite Product Team in Antony, France. You will collaborate with internal and external users to understand challenges and improve modeling workflows across the product lifecycle.

This role involves presenting and teaching modeling concepts, developing tutorials, demonstrations, and scientific content while advancing MonolixSuite capabilities and AI-enabled workflows.

Qualifications

  • Strong quantitative and scientific reasoning required.
  • Experience with mechanistic or ODE-based modeling in life sciences.
  • Ability to explain complex scientific material to diverse audiences.
  • French language willingness to learn if not fluent.

Responsibilities

  • Understand scientific challenges and improve modeling and simulation workflows.
  • Translate user needs into software feature specifications and test them.
  • Create training materials, demonstrations, and tutorials for MonolixSuite.
  • Present applications at pharmacometrics conferences and webinars.

Skills

Quantitative reasoning
Mechanistic modeling
Scientific communication
Team collaboration
English proficiency
French willingness to learn

Education

Masters or PhD in pharmacometrics or related field
Experience in systems biology or PK/PD modeling

Tools

MonolixSuite
NONMEM
Phoenix WinNonlin
R
Python
MATLAB

Job description

Simulations Plus is seeking a Modeling and Simulation Scientist for the MonolixSuite Product Team in Antony, France. You will collaborate with internal and external users to understand challenges and improve modeling workflows across the product lifecycle.

This role involves presenting and teaching modeling concepts, developing tutorials, demonstrations, and scientific content while advancing MonolixSuite capabilities and AI-enabled workflows.

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