AqemiaPosted 2d ago

Principal Biologist

Principal Biologist at Aqemia scores 70 out of 100 on AI centrality, which makes it a Level 3 role on this board.

ParisseniorFull-time contract

AI in this role

Drive drug discovery programs by combining biological expertise with generative AI and physics-based molecular invention platforms.

biologydrug-discoverycomputational-chemistrymolecular-modeling

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 in 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. For more information, visit AQEMIA.com, our WTTJ Page, and our LinkedIn.

About our Team

AQEMIA brings together a diverse, multidisciplinary team of 80+ 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.

About the Drug Discovery Team

The Drug Discovery Sciences team (~20 people) combines expertise in medicinal chemistry, computational chemistry, biology, and translational science .

Working at the intersection of AI-driven drug design, molecular simulations, and experimental science, the team is responsible for driving scientific excellence across Aqemia’s drug discovery programs and delivering clinical candidates.

They develop and apply innovative methodologies ensuring that scientific insights translate into high-quality therapeutic opportunities.

Partnering closely with Platform, Engineering, and Program teams, they play a critical role in advancing novel small-molecule therapeutics from concept to clinical candidate.

The role

Join Aqemia in a role where you will help shape our rapidly expanding portfolio of small molecule programs across diverse therapeutic areas, beginning with oncology and immuno-oncology. This is a unique chance to build a pipeline working closely with the VP of biology, and multidisciplinary teams to accelerate the discovery of clinical candidates. You’ll become part of a dedicated team focusing on providing biological support across the Aqemia portfolio.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

BiologyDrug DiscoveryComputational ChemistryMolecular Modeling

Questions you could be asked

Tell me about a project where biology was part of your work. What did you do?
Tell me about a project where drug discovery was part of your work. What did you do?
Tell me about a project where computational chemistry was part of your work. What did you do?
Tell me about a project where molecular modeling was part of your work. What did you do?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Biology, Drug Discovery, Computational Chemistry, and Molecular Modeling. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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