Generative AI Intern: AI-Driven Calibration for QSP Models

Nova In Silico company; Lyon; Hybride; EUR 13 000 - 20 000; Plein temps

Résumé du poste

Nova In Silico is a health tech company developing an in silico clinical trial platform jinkō to simulate drug efficacy and optimize clinical development using virtual patients and disease modelling. The internship offers significant responsibility and a steep learning curve, supported by a highly motivated team.

You will prototype AI strategies for calibration planning in mechanistic models, review literature on hierarchical calibration, and evaluate approaches against baselines for Nova's

Qualifications

• Proficient in Python scripting for data analysis and modeling.
• Interest in AI-assisted modeling and calibration workflows.
• Professional English written and spoken communication.

Responsabilités

• Review scientific literature on hierarchical model calibration and AI-assisted reasoning.
• Prototype AI strategies for calibration plan generation.
• Evaluate approaches against baselines and document methods and results.
• Integrate solutions into Nova's simulation platform.

Connaissances

Python programming

AI/ML concepts

Scientific computing

Outils

LLM APIs

Nova's jinkō API

SBML

Description du poste

Nova In Silico is a health tech company developing an in silico clinical trial platform jinkō to simulate drug efficacy and optimize clinical development using virtual patients and disease modelling. The internship offers significant responsibility and a steep learning curve, supported by a highly motivated team.

You will prototype AI strategies for calibration planning in mechanistic models, review literature on hierarchical calibration, and evaluate approaches against baselines for Nova's