AQEMIA
AQEMIA
AQEMIA एक फार्माटेक कंपनी है, जो क्वांटम भौतिकी, कृत्रिम बुद्धिमत्ता और दवा खोज के संगम पर काम करती है। इसकी स्वामित्व वाली तकनीक प्रायोगिक डेटा पर निर्भर किए बिना दवा के नए उम्मीदवार तैयार करने के लिए बनाई गई है, जिससे शोधकर्ताओं को संभावनाओं की एक विस्तृत श्रृंखला का अधिक तेज़ी से अध्ययन करने में मदद मिलती है। कंपनी स्वास्थ्य सेवा, जैव प्रौद्योगिकी और कृत्रिम बुद्धिमत्ता के क्षेत्रों में काम करती है और उन लोगों के लिए एक केंद्रित वातावरण प्रदान करती है, जो औषधीय अनुसंधान के लिए कम्प्यूटेशनल तरीकों में रुचि रखते हैं।

Applied AI Research Scientist - Paris Hybrid

Develop deep-learning and machine-learning models for AQEMIA’s drug discovery platform. Work with chemists and biologists to prioritize compounds and predict molecular properties.

विवरण

  • Create advanced deep-learning methods, including graph neural networks, generative models, and physics-based approaches
  • Conduct research and review relevant scientific literature
  • Partner with research and drug discovery teams to turn models into practical insights
  • Build reliable regression and ranking models from molecular and biological datasets
  • Work with chemists and biologists to prioritize promising compounds
  • Lead machine-learning workstreams from objective setting and scheduling through stakeholder communication
  • Provide models and predictions that support scientists’ daily workflows
  • Model molecular properties and protein–ligand interactions
  • Develop machine-learning systems for internal and partner drug discovery programs

आवश्यकताएँ

  • Master’s or doctoral degree in computer science, machine learning, computational chemistry, or a related discipline
  • Demonstrated problem-solving ability, independence, and willingness to collaborate
  • Around three to five years of experience applying machine learning in scientific or industrial environments
  • Proficiency with machine-learning frameworks including PyTorch, TensorFlow, and Scikit-learn
  • Strong Python development skills
  • Experience using libraries for scientific computing

लाभ

  • Flexible working options with up to two remote days each week
  • Work from offices in central Paris or London’s King’s Cross
  • Contribute to advanced drug discovery and the development of new medicines
  • Collaborate with leading pharmaceutical companies
  • Join an interdisciplinary group spanning AI, physics, biology, medicinal chemistry, and software engineering
  • Share expertise, learn from colleagues, and help shape the future of drug invention

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