AQEMIA
AQEMIA
AQEMIA kvant fizikasi, sun’iy intellekt va dori vositalarini kashf etish kesishmasida faoliyat yurituvchi farmatexnologiya kompaniyasidir. Kompaniyaning xususiy texnologiyasi eksperimental ma’lumotlarga tayanmasdan yangi dori nomzodlarini yaratish uchun ishlab chiqilgan bo‘lib, tadqiqotchilarga keng imkoniyatlar doirasini tezroq o‘rganishga yordam beradi. Kompaniya sog‘liqni saqlash, biotexnologiya va sun’iy intellekt sohalarida faoliyat yuritadi hamda farmatsevtika tadqiqotlariga hisoblash yondashuvlariga qiziqadiganlar uchun muayyan yo‘nalishga ega muhitni taklif etadi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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

O‘xshash ish o‘rinlari

Capital.com

Technical Product Operations Manager at Capital.com (Hybrid, Poland)

Capital.com

Advance a global trading platform by coordinating engineering programmes and improving how teams work. Lead migrations, data-informed process changes, automation, and practical AI adoption across engineering.

Ochish
Kyndryl

Senior SQL Server Database Administrator

Kyndryl

Administer and improve Kyndryl’s enterprise SQL Server infrastructure in Bangalore or Chennai, supporting performance, security, availability, and disaster recovery. The role covers database operations, lifecycle management, monitoring, and support for application teams.

Ochish