About AQEMIA

AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.

Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology.

Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates-without relying on experimental data.

We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization.

We are looking for a Scientific Software Developer to strengthen our computational capabilities, enabling the development and optimization of drug candidates.

Our team is composed of skilled professionals operating with an agile mindset, gathering weekly to review our current objectives, share progress, and brainstorm solutions to pressing challenges.

Inside AQEMIA, our mission is to accelerate drug discovery using cutting-edge technology. We leverage a state-of-the-art technology stack that includes Python, RDKit and advanced molecular mechanics tools such as widely-used force fields. Additionally, we integrate a proprietary platform featuring AI-driven and quantum-based predictions, enabling precise and innovative solutions across the drug discovery pipeline.

In this role, you'll be at the forefront of applying and developing chemoinformatics techniques to support our drug discovery projects. Your contributions will have a direct impact on the identification and optimization of innovative small molecules.

Your Role at AQEMIA

• Develop and apply computational workflows for virtual screening, molecular property predictions, and compound library design.
• Collaborate closely with AI and medicinal chemistry teams to integrate cutting-edge algorithms into drug discovery pipelines.
• Maintain and improve internal chemoinformatics infrastructure, ensuring tools are reliable, scalable and efficient.
• Stay current with the latest advancements in chemoinformatics and proactively implement best practices to keep AQEMIA at the forefront of the field.


Success in this role will be measured by your ability to deliver high-quality computational insights that accelerate project timelines, the robustness and scalability of the chemoinformatics workflows you develop, and the value you add to interdisciplinary collaborations.
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Your Profile

• Ph.D. or equivalent in Chemistry, Cheminformatics, Computational Chemistry, or related field.
• 4+ Years of experience in Chemoinformatics: You have experience in molecular modeling, virtual screening, and library design, using tools like RDKit, OpenEye, or similar platforms. Your expertise enables you to select and implement the right methods for diverse drug discovery challenges.
• Programming Proficiency: You are highly proficient in Python and have experience building scalable, reproducible computational pipelines.
• Interdisciplinary Communication: You excel at translating complex cheminformatics concepts into actionable strategies for medicinal chemists and AI specialists, fostering effective cross-functional collaboration.
• Data Analysis and Visualization: Strong data analysis skills, including experience with cheminformatics data interpretation and visualization, to communicate findings clearly.

Preferred Mindset

• You are driven to actively contribute to Aqemia's mission of developing life-saving drugs for patients.
• You bring a proactive and can-do attitude, solving complex problems with enthusiasm and a collaborative spirit.
• You thrive in a fast-paced, interdisciplinary environment.
• You are motivated to leverage your skills and knowledge to make a tangible impact.

Why Join Us ?

At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.

Expanding Drug Discovery Pipeline : Focused on critical diseases several types of cancers, with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.

Interdisciplinary Team : brilliant talent from tech and life sciences.

Experienced Leadership : Founders with 15+ years at ENS, Oxford, Cambridge, and BCG.

DeepTech Recognition: Part of French Tech 120 and France 2030.

Prime Location : Based in central Paris with the possibility of 2 remote days per week.

International Environment : The work language is English - relocation support and French lessons granted if needed.

Strong Financial Backing : $60M raised from leading European deeptech investors