QSP Modeler

Nova In Silico is a pioneer in the emerging field of in silico clinical trials based in Lyon (France). It specializes in numerical modeling and simulation of clinical trials for biotech and pharmaceutical companies, academic research centers and non-profit organizations.

We help our clients unleash the potential of combining math, computer science and biology to reduce the risks associated with R&D of new treatments.

Through collaborative work, our team of biologists, medical doctors, clinicians, mathematicians and computer scientists develop multiscale mechanistic models in various fields such as oncology, cardiology, immune disorder, viral infections or metabolic diseases.

The QSP modeler will play a crucial role in advancing our in silico clinical trials, contributing directly to the development of safer and more effective treatments for the benefit of patients.

We are looking for a passionate and skilled individual who is:

• A team player, a good listener, and an effective communicator
• Join a growing multidisciplinary team of enthusiastic innovators such as biologists, data scientists, applied math engineers and developers.
• Curious and proactive with a solid grounding in biology and/or mathematical modeling
• Particularly in systems biology, QSP modeling, PK/PD modeling, cell and molecular biology, and omics, to address real-life clinical issues.
• Eager to learn and use mathematical methods for the modeling of biological systems
• Simulate virtual diseases and treatments with ODE, PDE, Monte-Carlo Simulations
• Willing to explore and exploit large datasets and virtual populations
• Apply machine learning, statistical analysis, and outliers detection
• Autonomous and self-motivated with strong analytical and problem-solving skills
• Find innovative solutions to science and engineering problems
• Responsive and capable of facing time-sensitive challenges
• Project management with client-facing opportunities are awaiting you

RESPONSIBILITIES

Actively contribute to the creation of in silico disease and drug models :

• Conduct thorough literature reviews on the biological system to model
• Develop computational models (CM) of biological systems
• Calibrate models based on extracted data & knowledge
• Integrate models with others to build larger more comprehensive models
• Run and analyze large simulation results to answer the client’s questions
• Communicate your results in scientific reports and presentations
• Impact the development of the company’s simulation platform
• Actively participate in weekly and monthly project meetings and reporting

QUALIFICATIONS

One of the following qualifications:

• MSc in Engineering, Applied Mathematics, Computational Biology, Systems Biology, or a closely related quantitative discipline
• Engineering degree (or equivalent) with a strong quantitative background
• PhD in Computational Biology, Systems Biology, Applied Mathematics or a related field

Along with:

• Strong background in mathematical modelling and/or systems biology
• Knowledge or strong interest in biology, biochemistry, and/or pharmaceutical sciences
• Experience with at least one scientific programming language (language is not critical)
• Professional proficiency in English (written and spoken)

As a bonus:

• Experience in mechanistic modeling (systems biology, QSP, PB-PKPD)
• Experience in modeling techniques (ODEs, PDEs, DDEs, Agent-based)
• Knowledge of clinical trials and drug development

TECHNOLOGIES

We are looking for someone who is eager to learn/work with the following technologies (or knows them):

• Programming languages (Haskell, Python, R)
• Agentic AI (Claude Code, Codex, MCP, skills)
• Markup languages (Markdown, LaTeX)

MISC

• Full-time job, based in Lyon, France
• Starting date: From September 2026
• Nova offers a modern, pleasant and stimulating work environment, conducive to creativity and innovation
• We cultivate a strong team spirit based on mutual support, collaboration and sharing
• Our company culture promotes a healthy work-life balance for sustainable fulfilment
• The company allows flexibility in work organization including teleworking up to 2 days a week and offers various benefits
• We encourage socializing outside of work, both on and off site (theme evenings, outings, film club, etc.)