Aqemia.Com18d ago

Principal Computational Chemist

Paris,ParisFull-time contractlead

OtherComputational Chemist

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Overview

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI,

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OtherComputational Chemist

About AQEMIA

AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.

What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies.

Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.

For more information, visit AQEMIA.com and our LinkedIn.

About our Team

AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery.

This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention.

As a Principal Computational Chemist, you'll lead the end-to-end design of novel small molecule therapeutics using Aqemia's computational platform (generative AI, physics-based methods). You'll operate at the intersection of cutting-edge algorithms, molecular simulations, and medicinal chemistry.

Computational Drug Design: Design and optimize small molecules targeting specific therapeutic areas by leveraging Aqemia's drug design engine. Systematically model ADME, toxicity, and selectivity properties.

Communication: Your ability to clearly present and communicate your findings to stakeholders at all levels and across functions will be essential. You will ensure that your conclusions are robust and data-driven, fostering trust and collaboration within the team.

Technology Application: You will apply and validate Aqemia's baseline technologies, which include generative AI algorithms and physics-based methods. Your expertise will ensure that these technologies are used effectively to accelerate drug discovery.

Feedback and Improvement: Your project experience will provide valuable insights. You will offer systematic feedback on Aqemia's platform, driving continuous improvement and enhancing our technological capabilities.

Innovation and Advocacy: You will proactively propose and implement new approaches to advance our Drug Discovery programs. Your innovative mindset will help improve Aqemia's technology for greater accuracy, speed, and scalability, keeping us at the forefront of scientific discovery.

Interdisciplinary Collaboration: Your collaboration with machine learning engineers, project managers, medicinal chemists, and physicists will be pivotal in pushing the boundaries of what is possible in drug discovery.

Mentoring & Technical Leadership: Mentor junior computational chemists on project execution and methodology. Lead by example in rigor, reproducibility, and scientific communication. Contribute to hiring and team development for the computational chemistry team.

Industry Experience: At least 10 years of experience in pharmaceutical, biotech or CRO companies, with a focus on computational chemistry for small molecule drug discovery.

Deep expertise in structure-based and ligand-based drug design: homology modeling, docking, SAR analysis, virtual screening, pharmacophore design, QSAR, ADMET property modeling, multi-parameter optimization.

Drug Discovery Contributions: Proven success in advancing compounds from hit identification to pre-clinical candidates.

Diverse Target Experience: Experience with various targets, including kinases, GPCRs, phosphatases, ion channels, and bromodomains.

Strong experience in structure-based drug design and ligand focused techniques such as: Protein homology modeling, small molecule docking and pharmacophore hypothesis generation, virtual screening, structure-activity relationship (SAR) analysis.

QSAR and ADMET property modeling, multi-property optimization-based compound design, and physics-based methods (FEP, MD, MM/GBSA).

Familiarity with standard computational chemistry/cheminformatics packages (e.g., RDKit, OpenMM, OpenFE, CCDC).

Extensive knowledge of structural biology.

Solid understanding of medicinal chemistry principles and computational methods for optimizing drug properties.

Ability to analyze chemical data and identify trends using statistical methods to ensure reproducibility and data-driven decision-making.

Proficiency in Python in Linux/UNIX environments.

Prior experience with generative AI methods in drug discovery.

Experience optimizing or evaluating generative models (assessing chemical diversity, evaluating model-generated molecules for quality/novelty, training/fine-tuning generative architectures).

Familiarity with co-folding algorithms: Experience integrating structural predictions into computational design workflows.