Senior/Staff Data Scientist

il y a 2 jours

Paris, Île-de-France Aqemia Temps plein
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.
The Role
You will join the Rocket Launcher team, which is dedicated to hit identification. Your role is to optimise virtual screening and hit optimization pipelines using a multidisciplinary approach. You'll collaborate across scientific domains and lead cross-functional projects to integrate cutting-edge computational technologies. What you'll do
  • Evaluate and test virtual screening pipelines for scientific effectiveness.
  • Evaluate and test hit optimization 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 optimization.
  • 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 related fields.
  • 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 like 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 solutions that work in real-world applications, balancing scientific rigor with practical usability. Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise. Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery. Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment. Humility - Open to feedback and different perspectives, always striving for improvement.
Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes.
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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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