Principal Computational Chemist H/F Aqemia

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 inin 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.
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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 roleAs Principal Computational Chemist, you'll lead the development of cutting-edge computational chemistry pipelines within Aqemia's Drug Discovery Platform. Collaborating with computational chemists, AI researchers, and drug discovery experts, you'll integrate innovations to accelerate novel therapeutic discovery.
This is our most senior individual contributor rank at Aqemia. This role is designed for a scientist at the state of the art of their field, with deep expertise and a strong track record of impactful contributions. The Principal Computational Chemist will oversee complex scientific projects, mentor scientists, and actively shape our scientific roadmap.
You will be

- Be a Technical Leader - Drive the development of cutting-edge computational chemistry methodologies for molecular modeling and drug discovery.
- Mentor and Support the Team - Act as a scientific and technical mentor to junior and mid-level researchers, fostering innovation and knowledge-sharing within the team.
- Bridge Research and Application - Work closely with interdisciplinary teams (computational chemistry, AI and drug discovery experts) to translate computational chemistry research into real-world impact.

What you'll do

- Lead research initiatives to develop and apply novel computational chemistry methods to virtual screening, hit optimisation and lead optimisation (using Python).
- Design and implement advanced computational chemistry techniques, including protein ligand complex generation.
- Collaborate with interdisciplinary teams, including computational chemists, AI Research scientists, physicists, data scientists and medicinal chemists.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific innovation and excellence.

Polite note: this position does not involve manual compound design in Drug Discovery Programs.

What we're looking for

- PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field.
- Proficiency in programming (e.g., Python) and experience with industry-standard computational chemistry tools.
- Extensive experience (10+ years) in computational chemistry and drug discovery including 5 years in the drug discovery industry.
- Recognised expertise across molecular modeling, complex generation, protein-ligand interactions, free energy calculations, virtual screening, ADME properties.
- Proven ability to deliver impactful scientific contributions at the forefront of the field.
- Experience mentoring and guiding scientists in a collaborative, high-performance environment.
- Strong problem-solving skills, autonomy and a collaborative mindset.

Preferred Mindset

- Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.
- Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.
- Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.
- Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment.
- Humility - Open to feedback and different perspectives, always striving for improvement.

Polite note: UK visa sponsorship not currently available for this role at this time
Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes.
Why Join Us
At Aqemia, engineers don't just build software, they help discover real 'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery.
DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative modelsReal-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, fasterModern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scaleHigh Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-makingInterdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teamsPrime Locations : Central Paris or London offices, with 2 remote days/weekStrategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi
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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.