Applied AI Scientist — Drug Discovery Platform

Aqemia.Com; Paris; Hybride; EUR 60 000 - 85 000; Plein temps

Avantages offerts par ce poste

Flexible work arrangements including remote days

Opportunity to work with a world-class interdisciplinary team

Résumé du poste

Aqemia.Com is seeking an Applied AI Research Scientist to enhance drug discovery through machine learning applications and innovative research. This role involves collaborating with chemists and project leads while developing cutting-edge ML models to predict molecular properties.

The ideal candidate holds an MSc or PhD in a related field with 3-5 years of experience in applying machine learning within scientific settings. Join a dynamic team in Paris and contribute to breakthrough innovations in drug invention.

Qualifications

• 3–5 years of experience applying ML in scientific or industrial settings.
• Strong experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Solid Python programming skills and experience working with scientific computing libraries.

Responsabilités

• Contribute directly to internal drug discovery programs by applying ML.
• Design and implement novel ML algorithms to predict molecular properties.
• Process molecular datasets and apply robust ML models.

Connaissances

Applied AI

ML algorithms

Python programming

Collaboration

Problem Solving

Formation

MSc or PhD in Computer Science, Machine Learning, Maths, Physics

Outils

PyTorch

TensorFlow

Scikit-learn

Scientific computing libraries

Description du poste

Aqemia.Com is seeking an Applied AI Research Scientist to enhance drug discovery through machine learning applications and innovative research. This role involves collaborating with chemists and project leads while developing cutting-edge ML models to predict molecular properties.

The ideal candidate holds an MSc or PhD in a related field with 3-5 years of experience in applying machine learning within scientific settings. Join a dynamic team in Paris and contribute to breakthrough innovations in drug invention.