
Great Bay Bio (GBB), headquartered in Hong Kong Science Park, is a biotech company leveraging AI, big data mining, and automation to revolutionize drug development. The company offers AI-enabled platforms such as AlfaCell for site-specific integration cell line development, AlfaMedX for cell culture media development, and AlfaOPA for no-screening cell culture media optimization. GBB operates a 3,000㎡ R&D laboratory and CMC platform supporting clinical trial approvals in China and the US. With nearly 100 patents and multiple commercialized AI technology platforms, GBB has established partnerships with leading domestic and international enterprises. The company has received ISO 9001:2015 certification, numerous innovation awards, and was selected for Forbes Asia 100 to Watch 2024, positioning it as a leading innovator in biopharmaceutical development in the Greater Bay Area.

Great Bay Bio (GBB), headquartered in Hong Kong Science Park, is a biotech company leveraging AI, big data mining, and automation to revolutionize drug development. The company offers AI-enabled platforms such as AlfaCell for site-specific integration cell line development, AlfaMedX for cell culture media development, and AlfaOPA for no-screening cell culture media optimization. GBB operates a 3,000㎡ R&D laboratory and CMC platform supporting clinical trial approvals in China and the US. With nearly 100 patents and multiple commercialized AI technology platforms, GBB has established partnerships with leading domestic and international enterprises. The company has received ISO 9001:2015 certification, numerous innovation awards, and was selected for Forbes Asia 100 to Watch 2024, positioning it as a leading innovator in biopharmaceutical development in the Greater Bay Area.
该职位来源于猎聘 工作内容:
1、负责相关数据的挖掘、整合、清洗与特征工程,为模型训练构建高质量数据集。
2、主导针对特定问题的AI模型的设计、实现、训练与迭代优化,并推动其在实际研发流程中的集成与应用。
3、负责评估算法模型,构建符合项目要求的评估指标,确保模型满足实际需求。
5、负责项目相关核心技术专利的撰写与申报,积极跟踪领域前沿技术,并在团队内进行知识分享。完成领导交办的其他战略性研发任务。
任职条件:
1、 拥有世界排名(QS/ARWU/THE/USNER) Top100大学颁发的STEM相关学科的硕士或博士学位。优先专业: 计算机科学、计算生物学、生物信息学、计算物理学、应用数学。或具备深厚的深度学习、人工智能研究经验。
3、熟练掌握Linux开发环境,具备优秀的数据结构与算法设计能力,精通Python编程,具备良好的代码规范与工程习惯。
4、拥有以下至少一种或多种深度学习架构的实际项目经验(非仅课程学习)。几何图神经网络,Transformer,扩散模型,CNN/RNN等。
5、具备优秀的中英文文献检索、阅读与综述能力,能快速跟踪并消化AI与生物计算交叉领域的前沿进展。
6、勇于接受挑战,好奇心强、自驱动力强,主动接受和学习交叉领域知识和技能;对AI结合生物行业有一定的认知,能把复杂的事物简单化处理;逻辑思维清晰敏捷,善于团队沟通和协作;具备持续创新的能力。
7、加分项:在国际高水平会议、期刊发表过演讲和文章或在具有国际影响力的算法赛事中获得过排名或奖项,具有AIDD蛋白质或抗体等大分子药物开发相关项目经验。