Location: Shanghai (preferred)
• Participate in knowledge graph construction in biomedical domain; Train unsupervised/supervised graph neural networks for drug-target recommendation; Build advanced graph computational platform in Bio-AI industry
• Investigate the state-of-the-art algorithms and techniques related to drug-target associations
• Master/PhD of science or engineering
• Experience with machine learning and deep learning
• Enthusiastic about graph neural networks
• Experience with Pytorch; Experience with PyTorch Geometric is a plus
Why Join AliveX
• We are an interdisciplinary team of immunologists, molecular biologists and clinical experts, joining forces with data scientists, AI engineers and computational biologists to solve clinical challenges. Our environment is international with world-class employees from China, USA, Switzerland, Germany, UK, Australia, Canada, Singapore, etc.
• Our culture is outcomes-based which means that, if possible, we are flexible in where and when work happens. We focus on being at the forefront of innovation and commit to the highest level of quality, compliance and ethics. We support the continuous learning & growth of our employees.
• Hands-on exposure to the industry and great opportunities to learn & grow.
• Permanent positions available after graduation.