Modeling and Simulation Scientist, MonolixSuite Product Team

Simulations-Plus,-Inc; Antony; Hybrid; EUR 50,000 - 60,000; Full time

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

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Modeling and Simulation Scientist, MonolixSuite Product Team

Full Time Professional Antony, Île-de-France, FR 1 Attachments

Salary Range: €50,000.00 To €60,000.00 Annually

Simulations Plus stands as a global leader in model-informed and AI-accelerated drug development. We create value for our clients by accelerating the discovery, development, and commercialization of pharmaceuticals and other products through innovative science-based software and consulting solutions.

Leadership truly cares about maintaining a positive culture and employee well-being. We offer hybrid work options, flexible schedules along with annual bonus and more! Check out how much our employees love working here: https://www.comparably.com/companies/simulations-plus.

The Associate Product Specialist (Modeling and Simulation Scientist) will work with internal and external users to understand scientific challenges and improve how modeling and simulation are performed with MonolixSuite. The role contributes across the full product cycle, from understanding user needs and defining new features to testing them before release and sharing applications through demonstrations, training, publications, and other scientific content.

This is an excellent opportunity for a scientist with a background in systems biology, mechanistic ODE-based modeling, pharmacometrics, or another quantitative life-science field who wants to apply their scientific skills to a broad range of modeling and simulation problems while developing experience in customer-facing and product-oriented activities. Previous experience in pharmacometrics or with MonolixSuite is welcomed but not required.

MonolixSuite is one of the company’s scientific software platforms, dedicated to population pharmacokinetic and pharmacodynamic modeling and simulation. It helps scientists characterize drug behavior and understand variability between patients. By helping researchers make more informed development decisions, MonolixSuite contributes to the development of safer and more effective medicines.

The position requires a minimum of two days on site every two weeks.

Department:Product and Technology

Internal Grade:10

Direct Reports:No

Status: Exempt

Location:Hybrid from Antony, France Office

Contract Type:CDI

Job Responsibilities:

• Scientific Modeling and Problem Solving
  • Help scientists address a wide range of modeling and simulation questions
  • Investigate scientific and methodological questions arising from real-world applications
  • Develop examples, case studies, and tutorials illustrating good modeling practices
  • Contribute to scientific publications, webinars, and other technical content
• Scientific Software and Product Development
  • Work with users to understand their scientific needs and identify opportunities for improvement
  • Translate user needs and scientific challenges into specifications for new software features
  • Test new functionalities using realistic scientific examples before release
  • Contribute to the development of AI-enabled workflows
• Teaching and Scientific Communication
  • Explain modeling concepts and software workflows to scientists with different levels of experience through demonstrations, webinars, workshops, and training sessions
  • Develop clear training, demonstration, and documentation materials
  • Present and discuss MonolixSuite applications at pharmacometrics conferences

Required Qualifications:

• Strong quantitative and scientific reasoning skills
• Experience with mechanistic or ODE-based modeling in the life sciences
• Ability to understand and analyze complex scientific problems
• Comfortable explaining and presenting scientific material to different audiences.
• Collaborative mindset and interest in working with scientists, software developers, and users
• Excellent written and oral communication skills in English
• French speaking or willingness to learn

Preferred Qualifications:

• MonolixSuite, NONMEM, Phoenix WinNonlin, or other modeling and simulation software
• Scientific programming or data analysis using R, Python, MATLAB, or similar tools
• Develop AI agents, including tool integration, MCP, or scientific knowledge bases
• Write scientific publications, case studies, or tutorial
• Experience teaching, training, or presenting scientific work

Education:

• Masters or PhD in pharmacometrics, PK/PD modeling, biostatistics, computational biology, or a related field preferred
• Relevant experience in systems biology, computational biology with mechanistic ODE-based modeling, pharmacometrics, PK/PD modeling, biostatistics, or a closely related quantitative field