{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist H/F

As part of the Rocket Launcher team, you'll play a central role in advancing hit identification, hit expansion, and hittolead efforts. You'll refine and elevate our virtual screening and hitoptimization pipelines, leveraging a multidisciplinary approach to deliver highimpact improvements. You'll partner closely with experts across domains and lead crossfunctional projects that integrate stateoftheart computational technologies into our discovery workflows.

What You'll Be Doing

• Develop, run and evaluate virtual screening pipelines which allow Aqemia to identify promising chemical starting points.
• Develop, run and evaluate hit expansion and hit-to-lead pipelines which allow Aqemia to improve chemical starting points obtained during the phase of virtual screening.
• Contribute to interdisciplinary projects across physics, chemistry, data science, and ML teams.
• Apply in-depth statistical (for instance bayesian optimization) and exploratory research data analyses to improve pipeline performance.
• Contribute to identify technical gaps and develop custom solutions.
• Stay current on scientific literature and recommend improvements in virtual screening and hit optimization.

(Note: This position does not involve deep learning methods development.)

MSc (at least 3 years of experience after MSc) or PhD in Data Science, Statistics, Computer Science, or related fields.

• You are proficient in python or other object-oriented programming languages.
• Proven experience in scientific data analysis, ideally in life sciences.
• Proven understanding of statistical methods and exploratory research data analysis.
• You have excellent written and verbal communication skills, paired with a strong intellectual curiosity and the ability to quickly absorb new frameworks.

Nice-to-Have:

• Bayesian optimization is a plus.
• Experience with Cloud technologies is a plus.
• Experience with large datasets is a plus.

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 currentlyin 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 and our. 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.