Nova is a pioneer in the field of in silico clinical trials, which are poised to become an industry standard as regulators now see Modeling and Simulations (M&S) as a strategic priority. Each commercial project is aimed to unlock the potential of M&S and allow our biotech and pharma partners to accelerate and de-risk the R&D of new therapies by establishing their clinical benefits upstream of human trials. To predict drug efficacy, Nova applies a proprietary methodology (the Effect Model) with jinko platform, an internal platform which brings together the modeling and simulation expertise of the company.

You are a graduate student curious about science, particularly in the field of systems biology. You are open-minded and ready to work with a team of innovation enthusiasts in various fields of expertise. At Nova, you will participate in the development of in silico biomedical models with direct applications to improve new drug R&D

You are : 

  • A team player, a good listener, and an effective communicator: Join a growing multidisciplinary team of enthusiastic innovators 
  • Curious and proactive with a solid grounding in biology: Particularly in cell biology, molecular biology, and omics, to address real-life clinical issues. 
  • Autonomous and self-motivated with strong analytical and problem-solving skills: Find innovative solutions to science and engineering problems
  • 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
  • Responsive and capable of facing time-sensitive challenges: Project management with client-facing opportunities are awaiting you

Objective:

  • Contribute to the creation of pathophysiological models and the exploitation of their results. 
  • Develop a submodel which will be integrated into a complete model. The actual model to be implemented will depend on the partner’s needs of the moment (the intern will be part of the R&D process within that project).

Work Process:

  • Participate in weekly and monthly project meetings and reporting (scientific and project management meetings)
  • Conduct literature reviews on the biological system to model
  • Create a computational model in the simulation platform
  • Integrate the new submodel in the complete model
  • Participate and contribute to the redaction of an in silico experimental protocol and run simulations to answer the client’s questions

Deliverables:

Knowledge Model and Computational Model

Technologies & languages: 

Internal Tools (Jinko platform) for creating the models, R for result analysis.

References: 

To be provided based on the drug candidate chosen

Duration : 6 months