Senior Data Scientist - Product Insights

About AQEMIA AQEMIA is a next-gen pharmatech companygenerating one of the world's fastest-growing drug discoverypipelines. Our mission is to design fast innovative drug candidatesfor dozens of critical diseases, such as immuno-oncology. Ourunique approach leverages quantum-inspired physics algorithms topower generative AI in designing novel drug candidates—withoutrelying on experimental data. We already delivered several drugdiscovery successes within our internal pipeline and throughcollaborations with pharmaceutical companies. Our most advancedprograms are currently in vivo optimization. You will join theRocket Launcher team, which is dedicated to hit identification.Your role is to optimize virtual screening pipelines using amultidisciplinary approach. You’ll collaborate across scientificdomains and lead cross-functional projects to integratecutting-edge computational technologies. Key Responsibilities -Evaluate and test virtual screening pipelines for scientificeffectiveness. - Align computational strategies with teamobjectives and drug discovery goals. - Lead interdisciplinaryprojects across physics, chemistry, data science, and ML teams. -Apply in-depth statistical and exploratory data analyses to improvepipeline performance. - Identify technical gaps and develop customsolutions. - Contribute to best practices in data analysis, coding,and screening workflows. - Stay current on literature and recommendimprovements in virtual screening. - Advise stakeholders on thetechnical feasibility and impact of proposed approaches. - Activelyparticipate in planning analyses and identifying priorities anddependencies. (Note: This position does not involve work in machinelearning or deep learning.) Your Profile - Must-HaveQualifications: PhD or equivalent with 8+ years in Data Science,Physics, Computational Chemistry, or related fields. - Must-HaveQualifications: Strong Python programming skills. - Must-HaveQualifications: Deep experience in scientific data analysis,ideally in life sciences. - Must-Have Qualifications: Solidunderstanding of statistical methods and exploratory data analysis.- Must-Have Qualifications: Demonstrated experience leadingmulti-team scientific initiatives. - Nice-to-Have: Familiarity withtools like RDKit, OpenMM, or SMILES or experience with molecularsimulation data. - Nice-to-Have: Knowledge of high-performancecomputing or cloud environments. We are looking for a pragmatic,impact-driven data scientist with strong analytical and projectmanagement skills. Preferred mindset - At AQEMIA, we believeinnovation thrives in the right environment. We’re looking forsomeone who is: - Impact-driven & pragmatic: values resultsthat are practical and scientifically rigorous. - Curious &eager to learn: keen on staying at the frontier of science. -Motivated by high challenges: enthusiastic about pushing boundariesin drug discovery. - Team-oriented: thrives in collaborative,interdisciplinary teams. - Humble & open: welcomes feedback andcontinuous growth. Why Join Us? At AQEMIA, we work for a mission:joining us means having your own impact on changing the way drugsare discovered, and helping to shape the direction of ourfast-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 stageprograms. Collaborations with top Pharma, including a $140M Sanofideal. Interdisciplinary Team: brilliant talent from tech and lifesciences. DeepTech Recognition: Part of French Tech 120 and France2030. Prime Location: Based in central Paris and London (King'sCross) with the possibility of 2 remote days per week.International Environment: The work language is English -relocation support and French lessons granted if needed. StrongFinancial Backing: $100M raised from leading European andInternational investors. #J-18808-Ljbffr