Principal Computational Chemist

About AQEMIA

QAEMIA 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 that still await effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.

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.

The Role

As a Principal Computational Chemist, you’ll lead the end‑to‑end design of validated drug candidates 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. Your project experience is your greatest asset: every compound you design, every calculation you run, and every workflow bottleneck you encounter will drive improvements to our computational capabilities.

Responsibilities

• 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: 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: Offer systematic feedback on AQEMIA’s platform, driving continuous improvement and enhancing our technological capabilities.
• Innovation and Advocacy: Proactively propose and implement new approaches to advance our drug discovery programs. Your innovative mindset will improve AQEMIA’s technology for greater accuracy, speed, and scalability.
• Interdisciplinary Collaboration: Collaborate with machine learning engineers, project managers, medicinal chemists, and physicists to push the boundaries of 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.

Qualifications

• 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, including homology modeling, docking, SAR analysis, virtual screening, pharmacophore design, QSAR, ADMET property modeling, and 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.

Technical Skills

• Strong experience in structure‑based drug design and ligand‐focused techniques such as protein homology modeling, small‑molecule docking, pharmacophore hypothesis generation, virtual screening, and 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.

Nice‑to‑Have

• 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 and experience integrating structural predictions into computational design workflows.

Benefits

• Prime Location with Flexibility: Offices in the heart of Paris and London (King’s Cross), with flexible work arrangements including up to two remote days per week.
• Strong Financial Backing: $100M raised from leading European and international investors.
• World‑Class Interdisciplinary Team: Work alongside exceptional talent at the intersection of technology and life sciences, combining deep expertise in AI, physics‑based modeling, biology and medicinal chemistry.
• DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.
• Expanding Drug Discovery Pipeline: Focus on critical therapeutic areas such as oncology, CNS, and immuno‑inflammation with in‑vivo proof of concept programs and strategic collaborations with top pharma.

Employment Conditions

This role offers visa sponsorship for applicants based in our Paris location.