实习期限：[3个月以上，每周工作3天以上] 主要职责： 参与公司的AI应用项目，将现有的AI技术，尤其是大语言模型，应用到具体项目中。 协助进行文献调研和市场分析，熟悉AI技术最新应用和技术进展并推进其在业务场景中的应用。 与项目团队合作，理解业务需求，提出基于AI技术的解决方案。 协助进行数据治理工作，包括数据清洗、数据整合和数据质量控制，确保数据的准确性和可用性。 参与编写技术文档和报告，记录项目进展和成果。 任职资格： 计算机科学、数据科学、人工智能、生物信息学或相关领域的在校高年级本科/硕士/博士。 具备扎实的编程基础，熟悉Python、R等数据分析语言。 对机器学习和深度学习有基本了解，能够使用现有的AI框架和工具。具备大语言模型（LLM）相关研究、应用经验的尤佳。 良好的沟通能力和团队合作精神，能够与不同背景的团队成员有效合作。 对药物研发领域有兴趣，愿意学习相关知识。 每周可工作至少3天（其中至少2天在北京昌平现场办公）。 Data & AI Intern Period：[> 3 months，>3 days/week] Key Responsibilities: Participate in the company's AI application projects, applying existing AI technologies, with an emphasis on large language models, to real-world projects. Assist in conducting literature reviews and market analysis to stay updated with the latest AI applications and technological advancements, and promote their integration into business scenarios. Collaborate with project teams to understand business requirements and propose AI-based solutions. Support data governance efforts, including data cleaning, integration, and quality control, ensuring the accuracy and usability of data. Contribute to the preparation of technical documentation and reports, documenting project progress and outcomes. Qualifications: Enrolled as a senior undergraduate, master's, or doctoral student in Computer Science, Data Science, Artificial Intelligence, Bioinformatics, or a related field. Solid programming foundation with proficiency in data analysis languages such as Python and R. Basic understanding of machine learning and deep learning, with the ability to utilize existing AI frameworks and tools. Experience with large language models (LLMs) in research or application is highly desirable. Strong communication skills and a team-oriented spirit, with the ability to effectively collaborate with team members from diverse backgrounds. Interest in the field of pharmaceutical industry, with a willingness to learn new knowledge.