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AQEMIA
AQEMIA
11 – 50 Angajați
Asistență medicalăBiotehnologieInteligență artificială
AQEMIA este o companie din domeniul tehnologiei farmaceutice, care activează la intersecția dintre fizica cuantică, inteligența artificială și descoperirea de medicamente. Tehnologia sa proprie este concepută pentru a genera noi candidați medicamentoși fără a se baza pe date experimentale, ajutând cercetătorii să exploreze mai rapid o gamă largă de posibilități. Compania activează în domeniile sănătății, biotehnologiei și inteligenței artificiale, oferind un mediu orientat către persoanele interesate de abordările computaționale în cercetarea farmaceutică.
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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.

FRFranțaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăCercetător științific în domeniul IAInginer de învățare automată
PythonPyTorchScikit-LearnTensorFlow

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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