Application scientist, Research Scientist

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.

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 mission of the Molecular Simulations Team is threefold:

• Support drug discovery programs by maximising the impact of binding free energy calculations in decision‑making.
• Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel.
• Collaborate closely with our Physics Research Team to integrate innovations from Aqemia’s proprietary binding free energy methods.

As an Application Scientist in the Molecular Simulations Team, you will work at the interface of molecular modelling, statistical physics, and drug discovery. Your focus will be on applying, implementing and improving Aqemia’s physics‑based simulation methods to guide medicinal and computational chemistry and help identify high‑potential drug candidates.

• Execute molecular simulations (e.g., free energy calculations, Molecular Dynamics) to support drug discovery programs.
• Analyse simulation results to generate insights for project teams.
• Collaborate with computational chemists, biologists, AI researchers and medicinal chemists to design simulation strategies.
• Contribute to the optimisation of internal protocols and workflows.
• Document and present findings to multidisciplinary teams.

• MSc or PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field.
• Hands‑on experience with Molecular Dynamics, free energy methods, or protein‑ligand modelling.
• Proficiency in Python and simulation tools (e.g., GROMACS, AMBER, OpenMM).
• Strong communication skills and a collaborative mindset.

• Experience in machine learning applications for physics‑based modelling.
• Track record of scientific publications and contributions to the computational drug discovery community.

• Scientific Rigour:
  Committed to high standards of accuracy, reproducibility, and method validation.
• Humble and Willing to Learn:
  Open to feedback and continuously seeking to grow scientifically and professionally.
• Excited by Challenging Scientific Problems:
  Motivated by tackling complex, unsolved questions at the frontier of molecular simulation.
• Pragmatic and Impact‑Driven:
  Focused on delivering practical outcomes that drive real‑world impact in drug discovery.

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.

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.