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CMAC实践中国行 - 走进GSK, 耀乘助力医药拥抱AI

2023-11-23

在AI巨浪中,全球药企正纷纷探索如何借助AI加速医药创新和临床试验进程。本次CMAC临床研究信息化俱乐部走进GSK活动,将与行业同仁们深入探讨“大语言模型在国内最新进展”及“国内人工智能在医药及疫苗研发中的应用探索”。

耀乘健康科技CEO陈晓女士,作为CMAC临床研究信息化俱乐部理事长,受邀作为荣誉嘉宾,将分享对于AI如何助力企业实现临床信息化转型的深刻见解,另外,耀乘健康科技的首席产品官朱博贡,作为资深AI 产品专家也受邀参与此次的AI与医药创新活动。让我们一起探索AI的无限可能,迈向更智能、更高效的临床研究新时代!

提升生命科学创新研发效率,缩短创新产品进入市场的周期。

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AI Specialist

Shanghai|Engineering|Published 2023-06-02

Responsibilities

1. Engage in AI research and development in the field of clinical and biomedical informatics, including data collection, algorithm research, and model building.

2. Explore innovative applications of AI and be responsible for the application development of NLP technology in specific business scenarios.

3. Build machine learning platforms and frameworks, including algorithm implementation and system development.

4. Keep up with the latest developments in cutting-edge technologies in the industry and integrate them into the existing technical system to continuously enhance the platform's capabilities and meet business needs.

5. Provide insights and take the lead in implementing AI initiatives based on practical application products and scenarios within the company.

Job Requirements

1. Bachelor's degree or above in computer science or a related field, with at least five years of experience in AI research and development. In-depth research in natural language processing or computer vision, solid theoretical foundation, good mathematical and statistical knowledge, and programming skills are required.

2. Practical experience in implementing AI applications, preferably with experience in building from scratch and continuous optimization.

3. Familiarity with cutting-edge research in natural language processing, extensive research experience, and preferred experience in training and applying large-scale language models.

4. Proficiency in various machine learning and deep learning algorithms and their application scenarios.

5. Familiarity with at least one machine learning framework such as TensorFlow, PyTorch, scikit-learn, etc.

6. Strong innovation spirit and scientific research capabilities, good information search, literature reading, and algorithm implementation skills.

7. Strong documentation skills and the ability to communicate effectively with technical teams and management.

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