<div><span><b>About Aqemia</b></span></div><div><br /></div><div><span>Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI.</span></div><div><span>Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data.</span></div><div><span>Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis.</span></div><div><span>We’ve already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization.</span></div><div><span>We’re a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what’s possible in early-stage drug discovery.</span></div><div><br /></div><div><b>The Role</b></div><div><br /></div><div><span>As a Scientific Software Engineer you will contribute directly to building the product supporting drug hunters daily activities and accelerating Aqemia’s drug discovery programs.</span></div><div><br /></div><div><span>You will work at the intersection of cheminformatics, software engineering, and drug discovery, designing and implementing tools that serve scientists and guide compound design decisions.</span></div><div><br /></div><div><span>This is a key technical role with strong cross-functional impact across medicinal chemistry, physics modeling, and AI teams.</span></div><h3>What you’ll do</h3><ul><li>Collaborate with medicinal chemists in DD programs, understand and translate their needs, and support them in adopting Aqemia’s technology</li><li>Design and build DD workflows and pipelines to accelerate discovery programs</li><li>Develop the core internal tool of Aqemia, essential to Drug Hunters’ daily operations</li><li>Support Drug Hunters in DD programs, working closely with them to understand their scientific needs and help them adopt Aqemia’s technology</li><li>Design and implement end-to-end DD workflows and pipelines to accelerate hit identification and optimization</li><li>Build the core internal tool of Aqemia, central to daily DD activities, enabling data analysis, decision tracking, computation scheduling, and project management</li><li>Collaborate with AI scientists, cheminformaticians, and engineers to ensure smooth integration of scientific models into product workflows</li><li>Contribute to the usability and robustness of the platform, through clear UI, reliable backend services, and strong technical practices</li><li>Promote best practices in collaborative development, reproducibility, and data traceability across the team</li></ul><h3>What we’re looking for</h3><ul><li>6+ years of experience in cheminformatics or computational chemistry, ideally in a drug discovery context</li><li>Strong programming skills in Python, experience with RDKit or similar toolkits</li><li>Familiarity with molecular descriptors, compound clustering, virtual screening, and property prediction</li><li>Good understanding of medicinal chemistry principles and compound design strategies</li><li>Experience working with data in SQL and/or NoSQL databases</li><li>Ability to communicate effectively with interdisciplinary teams and translate scientific needs into technical solutions</li></ul><h3>Preferred mindset</h3><ul><li>You’re excited to build products that directly impact drug discovery projects</li><li>You enjoy solving complex scientific problems with clean, scalable code</li><li>You thrive in a collaborative, fast-paced environment</li><li>You care about clarity, impact, and continuous improvement</li></ul><div><span><b>Why Join Us</b></span></div><div><br /></div><div><span>At Aqemia, engineers don’t just build software, they help discover real <a href="http://drugs.You">drugs.You</a>’ll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery.</span></div><div><br /></div><div><b><span>DeepTech Mission :</span></b><span> Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models</span></div><div><b><span>Real-World Impact</span></b><span> : Every feature shipped helps scientists prioritize molecules and design better candidates, faster</span></div><div><b><span>Modern Stack &amp; Challenges</span></b><span> : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale</span></div><div><b><span>High Ownership, High Impact</span></b><span> : Engineers contribute to architecture, tooling, and scientific decision-making</span></div><div><b><span>Interdisciplinary Team</span></b><span> : Collaborate with chemists, physicists, ML researchers, and product teams</span></div><div><b><span>Prime Locations</span></b><span> : Central Paris or London offices, with 2 remote days/week</span></div><div><b><span>Strategic Traction</span></b><span> :  Backed by $100M in funding and a $140M partnership with Sanofi</span></div><div><br /></div><div><span>Join us if you’re excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.</span></div>

AQEMIA

Scientific Software Engineer - Computational Chemistry

AQEMIA