Senior Computational Chemist — AI-Driven Drug Design Leader

Aqemia; Paris; Hybride; EUR 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Flexible work arrangements

Two remote days per week

Paris & London offices

Résumé du poste

AQEMIA is a drug discovery company based in Paris and London. We are seeking a senior computational chemist to drive structure-based and AI-assisted small-molecule design across diverse targets, from hit identification to preclinical candidates.

You will mentor juniors and collaborate with medicinal chemists, ML engineers, and biologists to translate scientific insights into robust drug candidates. Join a world-class, interdisciplinary team and contribute to cutting-edge methods in AI-driven

Qualifications

• At least 10 years in pharma/biotech or CRO with computational chemistry focus.
• Deep expertise in structure-based and ligand-based drug design: docking, SAR, QSAR, ADMET.
• Proven success advancing compounds from hit to preclinical candidates.
• Experience with diverse targets (kinases, GPCRs, phosphatases, ion channels, bromodomains).

Responsabilités

• Computational Drug Design: model ADME, toxicity, and selectivity for small molecules.
• Communicate findings clearly to stakeholders across functions.
• Apply and validate AI/genetic methods to accelerate discovery.
• Offer feedback to improve Aqemia’s platform and methodologies.
• Proactively propose new approaches to advance drug discovery programs.
• Collaborate across ML, chemistry, biology, and project teams.
• Mentor junior computational chemists and contribute to hiring.

Connaissances

Structure-based design

Ligand-based design

Docking

QSAR

ADMET modeling

FEP/MD

Python

OpenMM

RDKit

Generative AI

Team mentorship

Outils

RDKit

OpenMM

OpenFE

CCDC

Description du poste

AQEMIA is a drug discovery company based in Paris and London. We are seeking a senior computational chemist to drive structure-based and AI-assisted small-molecule design across diverse targets, from hit identification to preclinical candidates.

You will mentor juniors and collaborate with medicinal chemists, ML engineers, and biologists to translate scientific insights into robust drug candidates. Join a world-class, interdisciplinary team and contribute to cutting-edge methods in AI-driven