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C

AIDD for drug discovery

Cgptalent
Location not stated
On-site
39 months ago
  • AI
  • CUDA
  • Python
  • Linux
  • Natural Language Processing
  • NumPy
  • Pandas
39 months ago
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Job responsibilities:- Develop a high-performance general chemical molecule AI Generative model, and fine tune the algorithm for specific drug targets.- Research and develop molecular design AI model based on structure and Pharmacophore to promote the discovery of novel Me Better sprout compounds.- Participate in data analysis and processing and algorithm process development of AI virtual screening, including Macromolecular docking, molecular dynamics simulation, FEP/TI, and analysis and calculation of QSAR, QSPR, ADMET, etc.- Optimization of AI algorithms, performance acceleration, and management of GPU and memory.- Participate in the research, scheme formulation, project implementation and reporting of Drug development projects.- Analyze and investigate the latest algorithm progress of AI Drug development at home and abroad.​Job requirements:- Master's degree or above in computer aided Drug design, Cheminformatics, Computational chemistry/pharmacy, Computational biology, Biophysics, Applied mathematics and other related specialties.- Based on Nvidai Cuda's experience in developing Python and Python Lightning, with extensive work experience in Linux environments.- Proficiently master and apply various AI Generative model, including the construction, training and use of VAE, GAN, DIFFUSION and other models.- Master the design principles of NLP AI models and have experience in developing models such as RNN, Seq2Seq, Transformer, etc.- Proficient in using tools such as Python, Numpy, Pandas, graphics, and visualization.- Those who have known and used various Cheminformatics toolkits, such as RDKit, Openbabel, Discovery Studio, Schrodinger, OpenEye, Autodock and other Drug development software platforms are preferred.

AIDD for drug discovery · Cgptalent

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