锦鲤求职

药明康德

(高级) AI智能体业务伙伴(For DMPK)(J24976)

锦鲤会替你打开官网网申、按简历自动填表提交,你只需要在关键步骤确认。

岗位描述

岗位职责
1. Apply LLM, AI Agents, agentic workflows, data processing products and pipelines, etc. to swiftly and effectively meet the unique demands of biology/lab testing scenarios, enhancing operational efficiency, and driving transformative results.

运用大语言模型、AI智能体、智能体工作流、数据处理产品及管线等,快速高效满足生物学/实验室检测场景的独特需求,提升运营效率并推动变革性成果落地。

2. Integrate domain knowledge, human experience, and business workflows into AI solutions to address real challenges in pharmacology and industry applications related to biology/lab testing.

将领域知识、人类经验与业务工作流融入AI解决方案,解决生物学/实验室检测相关的药理学及产业应用中的实际难题。

3. Work within the setting of biology/lab testing business units to understand their specific needs and provide tailored AI solutions, ensuring practical implementation and tangible results for efficiency improvement and business insights.

深入生物学/实验室检测业务单元场景,了解其具体需求并提供定制化AI解决方案,确保方案落地实施,在效率提升和业务洞察方面取得切实成果。

4. Stay updated with the latest advancements in AI and continuously improve AI applications to maintain cutting-edge solutions in the biology and testing fields.

跟进AI领域最新进展,持续优化AI应用,保持生物学及检测领域解决方案的前沿性。

5. Process biology and lab testing AI-ready data and engage in basic AI model training to optimize performance and address complex needs with agility.

处理生物学及实验室检测的AI就绪数据,参与基础AI模型训练,优化模型性能,敏捷响应复杂需求。

岗位要求
1. Master/PhD in STEM or related areas (bio engineering, computer science/engineering preferred) with strong hands-on technical and industrial experience in AI or Industry-level projects; expertise in Bio-info/Lab testing/GLP/GMP is preferred.

STEM或相关领域硕士/博士学位(生物工程、计算机科学/工程专业优先),具备丰富的AI或产业级项目实操技术与行业经验;有生物信息学/实验室检测/药物非临床研究质量管理规范/药品生产质量管理规范相关专业知识者优先。

2. Excellent problem formulation and problem solving skills with outstanding communication and teamwork capability, good sense of data and outstanding research capability;

具备出色的问题定义与解决能力,优秀的沟通与团队协作能力,良好的数据敏感度和突出的研究能力;

3. Outstanding programming skills using Python (additional experience in SQL/Java/JS is a plus);

精通Python编程,有SQL/Java/JS经验者优先;

4. Capability of delivering projects/tools using framework such as Dify/Dash/Streamlit/Gradio;

能够使用Dify/Dash/Streamlit/Gradio等框架交付项目/工具;

5. Strong curiosity and a thirst for knowledge, able to work under pressure, willing to learn and integrate cutting edge technology into new specialized fields (Biology/AI/Lab Testing)

好奇心强、求知欲旺盛,能承受工作压力,愿意学习并将前沿技术融入新的专业领域(生物学/AI/实验室检测);

6. Patient with business processes, capable of rapid project iteration and plan adjustments, and possessing a certain level of resilience;

对业务流程有耐心,能够快速推进项目迭代与方案调整,具备一定的抗压韧性;

7. 985/211 (or equivalent overseas) graduates; Master degree/PhD degree in biomedical engineering, computer science & engineering, computational biology, or other highly related majors

985/211院校(或海外同等院校)毕业;生物医学工程、计算机科学与工程、计算生物学或其他高度相关专业硕士/博士学位;

8. Requirement: 1-year+ experience in AI/ML of biomedical/lab testing related scenarios, Senior: 3-year+ in AI/ML with hands-on experience in biology/lab testing scenarios

基础要求:1年及以上生物医学/实验室检测相关场景的AI/机器学习工作经验;资深岗要求:3年及以上AI/机器学习工作经验,且有生物学/实验室检测场景的实操经验。

人工智能方向的申请准备

先核对岗位要求与自己的经历,再准备档案、投递和面试。

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