药明生物
2027届-种子计划C-数字化（数据分析）-全球数智科技部
岗位职责
Role Description: This position is part of the Global Digital Technologies Department. The team is composed of passionate experts from various fields such as research and development, AI, bioinformatics, product management， Enterprise platform, Information Security, and infrastructure. We uphold a spirit of craftsmanship to develop industry-leading digital platforms and tools, accelerating the speed and quality of drug discovery, development and manufacturing to ultimately improve human health. Key Responsibilities:
Requirement understanding: Conduct requirement gathering and user interviews with stakeholders such as Security, Information Systems and Enterprise Architecture; clarify requirements, target metrics and priorities; identify data sources, data owners and acceptance criteria for deliverables; decompose business problems into actionable tasks or work items.
Data analysis: Collect and clean multi-source data according to business scenarios; perform data analysis, model development, data visualization and results presentation; design and implement visual dashboards and periodic reports; support leadership and stakeholders in data-driven decision making; perform system and security log analysis.
Documentation delivery: Produce structured documents for incident response, problem analysis or routine operations, including root cause analyses, operation/run books, flowcharts, governance policies and role/responsibility descriptions; maintain and continuously update the documentation repository.
Cross-team collaboration: Maintain a contact list and act as the liaison between internal and external teams; organize and chair weekly meetings, problem-analysis meetings and project syncs; drive action items to closure and continuous improvement; regularly review and optimize collaboration processes with relevant teams. Role Requirements:
Education: Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Information Systems Management or related technical disciplines; strong academic record. Candidates with data analysis experience or relevant internships/projects are preferred.
Problem-solving ability: Strong problem-analysis skills with logical thinking and independent judgment; able to convey structured information clearly; high execution capability and sense of responsibility, able to resolve issues promptly and effectively.
Data analysis and programming skills: Familiar with data structures and basic modeling; experience using SQL, Python or SAS (or similar) and tools to perform data analysis.
Communication and teamwork: Excellent cross-team communication and meeting organization skills; able to produce clear documentation; capable of coordinating resources and priorities among multiple stakeholders; proactive learning attitude. Mandarin fluency and ability to work in English are preferred.
Learning ability and self-drive: Ability to rapidly learn new tools/platforms (e.g., new BI tools or new AI tools) and new methods; proactively follow industry and technological developments and bring valuable practices into the team; self-driven to advance problem solving in uncertain situations.
Generative AI (LLM) experience or visualization tools: Experience in prompt engineering or building LLM-based tools/workflows is a plus; proficiency in at least one BI/visualization tool is preferred. 岗位说明： 本岗位隶属于全球数智科技部，由一群热忱精英的研发、AI、生信、产品、企业平台、安全、基础设施等成员构成，我们保持工匠精神打造业内领先的数字化平台与工具，助推药物研发、制药开发及生产的速度与品质，服务人类生命健康。 岗位职责:
需求理解 ：面向安全/信息系统/企业架构等业务侧进行需求梳理，开展用户访谈，明确需求、目标指标与优先级；明确数据源、责任方与交付物验收条件，将业务问题拆解为可执行的任务或工作项。
数据分析： 基于业务场景需求从多源采集并清洗数据，完成数据分析、模型开发、数据可视化与成果展示；设计并实现可视化仪表盘与定期报告；协助领导层及相关方进行数据驱动决策；系统/安全日志分析。
文档交付： 在事件响应、问题分析或常规运营场景下输出结构化文档；包括根因分析、操作/运行手册、流程图、管理制度与角色职责说明；维护并持续更新文档库。
跨团队协作： 维护联络清单，作为部门内外部团队之间的联络人，组织并主持周会/问题分析会/项目同步会，驱动事项按责任落地并推动闭环改进，定期与相关团队回顾与优化协作流程。 岗位要求:
学历： 拥有统计学、数学、计算机科学、信息系统管理或技术相关专业的本科及以上学历，成绩优异。有数据分析、相关实习/项目经验者优先。
问题解决能力： 具备扎实的问题分析能力，能够进行逻辑思考和独立判断；善于传递结构清晰的信息与讯息；拥有高效的执行力和责任感，并及时有效地解决问题
数据分析与编程技能 ：熟悉数据结构和基础模型，具有SQL、Python或SAS等编程语言的使用或开发经验，使用工具完成数据分析
沟通与团队协作： 具备优秀的跨团队沟通能力与组织会议/推动事项闭环的能力；能编写清晰的文档；能在多方利益相关者间协调资源与优先级；保持主动学习态度。熟练使用普通话和英语工作者优先
学习能力与自我驱动： 具备快速学习新工具/平台（如新 BI 工具、新AI工具）与新方法的能力；主动跟进行业/技术变化并将有价值的实践带入团队；在不确定场景下能自我驱动推进问题解决。
生成式AI (LLM) 经验或可视化工具： 具备提示工程或构建开发基于LLM的工具/工作流经验者优先；熟练使用至少一种 BI/可视化工具经验者优先
任职要求
understanding: Conduct requirement gathering and user interviews with stakeholders such as Security, Information Systems and Enterprise Architecture; clarify requirements, target metrics and priorities; identify data sources, data owners and acceptance criteria for deliverables; decompose business problems into actionable tasks or work items.
Data analysis: Collect and clean multi-source data according to business scenarios; perform data analysis, model development, data visualization and results presentation; design and implement visual dashboards and periodic reports; support leadership and stakeholders in data-driven decision making; perform system and security log analysis.
Documentation delivery: Produce structured documents for incident response, problem analysis or routine operations, including root cause analyses, operation/run books, flowcharts, governance policies and role/responsibility descriptions; maintain and continuously update the documentation repository.
Cross-team collaboration: Maintain a contact list and act as the liaison between internal and external teams; organize and chair weekly meetings, problem-analysis meetings and project syncs; drive action items to closure and continuous improvement; regularly review and optimize collaboration processes with relevant teams. Role Requirements:
Education: Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Information Systems Management or related technical disciplines; strong academic record. Candidates with data analysis experience or relevant internships/projects are preferred.
Problem-solving ability: Strong problem-analysis skills with logical thinking and independent judgment; able to convey structured information clearly; high execution capability and sense of responsibility, able to resolve issues promptly and effectively.
Data analysis and programming skills: Familiar with data structures and basic modeling; experience using SQL, Python or SAS (or similar) and tools to perform data analysis.
Communication and teamwork: Excellent cross-team communication and meeting organization skills; able to produce clear documentation; capable of coordinating resources and priorities among multiple stakeholders; proactive learning attitude. Mandarin fluency and ability to work in English are preferred.
Learning ability and self-drive: Ability to rapidly learn new tools/platforms (e.g., new BI tools or new AI tools) and new methods; proactively follow industry and technological developments and bring valuable practices into the team; self-driven to advance problem solving in uncertain situations.
Generative AI (LLM) experience or visualization tools: Experience in prompt engineering or building LLM-based tools/workflows is a plus; proficiency in at least one BI/visualization tool is preferred. 岗位说明： 本岗位隶属于全球数智科技部，由一群热忱精英的研发、AI、生信、产品、企业平台、安全、基础设施等成员构成，我们保持工匠精神打造业内领先的数字化平台与工具，助推药物研发、制药开发及生产的速度与品质，服务人类生命健康。 岗位职责:
需求理解 ：面向安全/信息系统/企业架构等业务侧进行需求梳理，开展用户访谈，明确需求、目标指标与优先级；明确数据源、责任方与交付物验收条件，将业务问题拆解为可执行的任务或工作项。
数据分析： 基于业务场景需求从多源采集并清洗数据，完成数据分析、模型开发、数据可视化与成果展示；设计并实现可视化仪表盘与定期报告；协助领导层及相关方进行数据驱动决策；系统/安全日志分析。
文档交付： 在事件响应、问题分析或常规运营场景下输出结构化文档；包括根因分析、操作/运行手册、流程图、管理制度与角色职责说明；维护并持续更新文档库。
跨团队协作： 维护联络清单，作为部门内外部团队之间的联络人，组织并主持周会/问题分析会/项目同步会，驱动事项按责任落地并推动闭环改进，定期与相关团队回顾与优化协作流程。 岗位要求:
学历： 拥有统计学、数学、计算机科学、信息系统管理或技术相关专业的本科及以上学历，成绩优异。有数据分析、相关实习/项目经验者优先。
问题解决能力： 具备扎实的问题分析能力，能够进行逻辑思考和独立判断；善于传递结构清晰的信息与讯息；拥有高效的执行力和责任感，并及时有效地解决问题
数据分析与编程技能 ：熟悉数据结构和基础模型，具有SQL、Python或SAS等编程语言的使用或开发经验，使用工具完成数据分析
沟通与团队协作： 具备优秀的跨团队沟通能力与组织会议/推动事项闭环的能力；能编写清晰的文档；能在多方利益相关者间协调资源与优先级；保持主动学习态度。熟练使用普通话和英语工作者优先
学习能力与自我驱动： 具备快速学习新工具/平台（如新 BI 工具、新AI工具）与新方法的能力；主动跟进行业/技术变化并将有价值的实践带入团队；在不确定场景下能自我驱动推进问题解决。
生成式AI (LLM) 经验或可视化工具： 具备提示工程或构建开发基于LLM的工具/工作流经验者优先；熟练使用至少一种 BI/可视化工具经验者优先
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