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.
You will join the Rocket Launcher team, which is dedicated to hit identification. Your role is to optimize virtual screening pipelines using a multidisciplinary approach. You’ll collaborate across scientific domains and lead cross-functional projects to integrate cutting-edge computational technologies.

Key Responsibilities

• Evaluate and test virtual screening pipelines for scientific effectiveness.
• Align computational strategies with team objectives and drug discovery goals.
• Lead interdisciplinary projects across physics, chemistry, data science, and ML teams.
• Apply in-depth statistical and exploratory data analyses to improve pipeline performance.
• Identify technical gaps and develop custom solutions.
• Contribute to best practices in data analysis, coding, and screening workflows.
• Stay current on literature and recommend improvements in virtual screening.
• Advise stakeholders on the technical feasibility and impact of proposed approaches.
• Actively participate in planning analyses and identifying priorities and dependencies.

(Note: This position does not involve work in machine learning or deep learning.)

Your Profile

• Must-Have Qualifications: PhD or equivalent with 8+ years in Data Science, Physics, Computational Chemistry, or related fields.
• Must-Have Qualifications: Strong Python programming skills.
• Must-Have Qualifications: Deep experience in scientific data analysis, ideally in life sciences.
• Must-Have Qualifications: Solid understanding of statistical methods and exploratory data analysis.
• Must-Have Qualifications: Demonstrated experience leading multi-team scientific initiatives.
• Nice-to-Have: Familiarity with tools like RDKit, OpenMM, or SMILES or experience with molecular simulation data.
• Nice-to-Have: Knowledge of high-performance computing or cloud environments.

We are looking for a pragmatic, impact-driven data scientist with strong analytical and project management skills.

Preferred mindset

• At AQEMIA, we believe innovation thrives in the right environment. We’re looking for someone who is:


• Impact-driven & pragmatic : values results that are practical and scientifically rigorous.
• Curious & eager to learn : keen on staying at the frontier of science.
• Motivated by high challenges : enthusiastic about pushing boundaries in drug discovery.
• Team-oriented : thrives in collaborative, interdisciplinary teams.
• Humble & open : welcomes feedback and continuous growth.

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 therapeutic areas like Oncology, CNS, Immuno-inflammation... 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.DeepTech Recognition: Part of French Tech 120 and France 2030.Prime Location : Based in central Paris and London (King's Cross) 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 : $100M raised from leading European and International investors