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耀乘 CEO 陈晓女士入选2023“福布斯中国商界20位潜力女性”

2023-03-09

昨日,福布斯中国发布2023中国商界20位潜力女性,上榜者所在的企业在过去3年内迅速崭露头脚,凭借较高的营运质量、成长潜力、行业与公众影响力成为不可忽视的存在。今年,共有5位入选者来自医药板块,耀乘健康科技CEO陈晓女士是其中之一。


陈晓 | 耀乘健康科技 CEO

耀乘健康科技专注于生命科学临床研发领域,并致力于开创全球领先的新一代临床研究SaaS平台,以云计算、大数据、AI等技术赋能生命科学研发的试验设计、数据管理及运营,保证临床数据一致性,提升方案设计和试验执行效率,掌控成本投入,加速创新药和新型医疗器械的商业化。公司于2021年、2022年分别获得超亿元人民币和数千万美元的A轮、A+轮融资。


在加入耀乘健康科技之前,陈晓就职于谷歌 (Google) 集团,15年间先后担任谷歌总部软件工程师、谷歌上海研发院院长、睿理健康科技(谷歌母公司旗下专注于生命科学领域的创业公司)中国区总经理。陈晓本科毕业于上海交通大学,拥有自动控制系学士学位,并在美国Texas A&M获计算机硕士学位。


商业、科技与女性正在新的经济逻辑重塑中发挥作用,关于女性“职场弱势、科技绝缘”的刻板印象正在改变,未来将有更多的女性领导者在商业环境中顽强破土而出。相对于其他亚洲国家,中国拥有更明显的男女平权土壤和更庞大的受教育女性群体。女性们将为中国经济带来怎样的新奇迹?这个问题的答案不可估量,且值得期待。


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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