Internship - Modeling and Simulation - New drug R&D (commercial project)

Background

Nova In Silico 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 In Silico creates and uses models with jinkō platform, an internal platform that brings together the modeling and simulation expertise of the company.

Objectives

Investigate and develop disease or treatment models to fulfill partner requirements, thereby contributing to the R&D process.

You are :

• 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 outlier detection
• Responsive and capable of facing time‑sensitive challenges: Project management with client‑facing opportunities are awaiting you

You will :

• Contribute actively to the creation of in silico pathophysiological and treatment models
• Participate in weekly and monthly project meetings and reporting
• Analyze extensive real‑world datasets and simulation results
• Impact the development of nova’s simulation platform

Methodology and technical skills:

We mainly use internal tools (jinkō platform) for creating the models, and R for result analysis.

We are looking for people who know some of the following fields or are eager to learn and work with them

• Mechanistic modeling, ODEs, PK-PD
• Scientific computing and statistics (R, Python)
• Knowledge in biology, biochemistry and/or pharmaceutical sciences
• Knowledge in machine learning and optimization techniques (e.g., SAEM, gradient descent)
• Knowledge in clinical trials and drug development

A professional English level (written and oral) is required for this role