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 problem
➔ 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 by
- 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
An engineer’s degree or equivalent with:
- Mathematical / systems biology background
- Knowledge in biology, biochemistry and/or pharmaceutical sciences
- Basic understanding of a scientific programming language (the language does not matter)
- A professional English level (written and oral)
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):
- Unix environment
- Programming languages (Haskell, Python, R)
- Markup languages (Markdown, LaTeX)
- Miscellaneous (Git, bash)
MISC
- Type: full-time job, based in Lyon, France
- Contact: recruitment@novainsilico.ai
How to apply: link to application form
Starting date: Flexible
WELL-BEING AT WORK
- 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.)