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加入AI for Science团队，构建前沿治疗发现与开发平台，融合AI与自动化技术，应用生成式AI进行抗体设计与优化，推动下一代生物治疗创新。
The candidate will be joining our AI for Science team to build state-of-the-art therapeutic discovery and development platform, closely integrating frontier AI and Automation technologies and driving innovation for next-gen biotherapeutics.
Responsibilities
Develop, test and optimize AI & ML-based models and workflows to solve complex problems in biologics discovery and development.
Apply generative AI & ML-based protein design and engineering technologies to design novel therapeutic antibodies, including de novo design and optimization.
Work with various teams to enhance data infrastructure and lab automation integration.
Support external partnerships and collaboration opportunities.
Analyze, interpret, document, and present project results to the scientific and leadership team.
Effectively partner across multidisciplinary interfaces to achieve organizational objectives.
Qualifications
PhD in Computer Science, Computational Biology, Biochemistry, Physics or related field and minimum of 3 years of experience in AI for Science projects or MS and minimum of 7 years industry experience.
Familiar with mainstream AI/ML frameworks such as Pytorch and Tensorflow, and solid programming skills with hands-on experiences in training models such as GNNs, transformers, GANs, diffusion and flow matching models etc.
Highly curious, eag
研究和试验发展
