Senior/Staff Data Scientist

Senior/Staff Data Scientist Join AQEMIA as a Senior/Staff Data Scientist and help accelerate the discovery of new drugs. About AQEMIA AQEMIA is a next‑gen pharmatech company building one of the world’s fastest‑growing drug discovery pipelines. Our mission is to design fast, innovative drug candidates for dozens of critical diseases, such as immuno‑oncology, using quantum‑inspired physics algorithms that power generative AI without relying on experimental data. We have delivered several successes internally and through collaborations with pharmaceutical companies, and our most advanced programs are in vivo optimisation. Role You will join the Rocket Launcher team, dedicated to hit identification. Your role is to optimise virtual screening and hit optimisation pipelines through a multidisciplinary approach and lead cross‑functional projects that integrate cutting‑edge computational technologies. What You’ll Do Evaluate and test virtual screening pipelines for scientific effectiveness Evaluate and test hit optimisation 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 and hit optimisation 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 methods development. What We’re Looking For PhD or equivalent with 8+ years in Data Science, Physics, Computational Chemistry, or a related field Strong Python programming skills Deep experience in scientific data analysis, ideally in life sciences Solid understanding of statistical methods and exploratory data analysis Demonstrated experience leading multi‑team scientific initiatives Nice-to-Have Familiarity with tools such as RDKit, OpenMM, or SMILES or experience with molecular simulation data Knowledge of high‑performance computing or cloud environments Preferred Mindset Pragmatic and impact‑driven – focused on delivering real‑world solutions while balancing scientific rigor Eagerness to learn – strong curiosity for scientific advancements and a willingness to continually expand expertise Love for high scientific challenges – enthusiasm for tackling complex problems at the frontier of AI and drug discovery Team‑oriented – collaborative spirit thriving in an interdisciplinary environment Humility – open to feedback and different perspectives, always striving for improvement Why Join Us? At AQEMIA, we work for a mission: having your impact on changing how drugs are discovered, shaping the direction of our fast‑growing company and team. We focus on critical therapeutic areas such as Oncology, CNS, and Immuno‑inflammation, with in‑vivo proof of concept and patent‑stage programmes. We collaborate with top pharma, including a $140M Sanofi deal. Our interdisciplinary team comprises brilliant talent from tech and life sciences. We are recognised as part of French Tech 120 and France 2030 and are backed by $100M raised from leading European and international investors. Senior Level Not Applicable Employment Type Full‑time Job Function Engineering and Information Technology #J-18808-Ljbffr