首席架构科学家

Job description

About the Role We are seeking an experienced technology leader to architect and build the next-generation Autonomous Laboratory Platform, where AI, laboratory automation, robotics, scientific instruments, and digital systems work together to accelerate scientific discovery. The successful candidate will lead the development of an Autonomous Laboratory Agent Operating System (Agent OS) and AI Agent ecosystem that enables intelligent experiment planning, workflow orchestration, and closed-loop scientific execution. Key Responsibilities Autonomous Laboratory Architecture Define the technology vision and roadmap for AI-driven autonomous laboratories. Design scalable architectures that connect laboratory automation, scientific instruments, data platforms, and AI systems. Drive the development of next-generation scientific software and digital laboratory platforms. Agent OS & AI Agent Development Architect and develop the Autonomous Laboratory Agent Operating System (Agent OS). Design and implement AI Agents and Multi-Agent Systems for scientific applications. Build intelligent capabilities including experiment planning, scientific reasoning, workflow orchestration, knowledge management, and autonomous decision-making. Laboratory Automation & Physical AI Integrate AI systems with robotics, laboratory automation, and scientific instruments. Build closed-loop systems that connect AI-generated decisions with experimental execution and feedback. Drive interoperability across multi-vendor laboratory ecosystems. Technical Leadership Lead cross-functional teams spanning AI, software engineering, automation, and life sciences. Collaborate with global R&D teams, external partners, and strategic customers. Evaluate emerging technologies and establish platform strategies. Required Qualifications Education Master's or PhD in Life Sciences, Bioinformatics, Computer Science, AI, Robotics, Biomedical Engineering, or related disciplines. Experience 8+ years of experience in Life Sciences, Biotechnology, Pharmaceutical, AI, Automation, or Scientific Software industries. Proven experience architecting large-scale software or AI platforms. Demonstrated leadership in AI-for-Science, laboratory automation, robotics-AI integration, or scientific software development. AI & Agent Technologies Hands-on experience with Large Language Models (LLMs), AI Agents, and Multi-Agent Systems. Experience with RAG, Knowledge Graphs, and Agent workflow orchestration. Familiarity with frameworks such as LangGraph, LangChain, Semantic Kernel, and AutoGen. Understanding of MCP (Model Context Protocol). Laboratory & Automation Systems Experience integrating software with laboratory instruments, robotics, automation platforms, or cyber-physical systems. Strong understanding of drug discovery, multi-omics, synthetic biology, or related scientific workflows. Preferred Qualifications Experience building Autonomous Laboratory, AI Scientist, Scientific Copilot, or Agentic Smart Device platforms. Experience in Digital Twin, Physical AI, Scientific Foundation Models, or AI-native scientific workflows. Experience working in multinational innovation environments. Strong entrepreneurial mindset and platform-building capability. What Success Looks Like A rare combination of Scientist, AI Architect, Systems Engineer, Automation Innovator, and Technology Strategist, who can turn the Autonomous Laboratory vision into a deployed platform. 职位概述 我们正在寻找一位兼具生命科学与人工智能背景的技术领导者，负责构建下一代自主实验室（Autonomous Laboratory）平台，将 AI、实验室自动化、机器人、科学仪器与数字化系统深度融合，加速科研创新与发现。 该职位将负责自主实验室 Agent 操作系统（Agent OS）及 AI Agent 生态的架构设计与开发，实现智能实验规划、流程编排及闭环科研执行能力。 主要职责 自主实验室架构设计 制定 AI 驱动自主实验室的技术愿景与路线图。 设计连接实验室自动化、科学仪器、数据平台及 AI 系统的可扩展整体架构。 推动新一代科研软件与数字化实验室平台建设。 Agent OS 与 AI Agent 开发 设计并开发自主实验室 Agent 操作系统（Agent OS）。 设计和构建面向科研场景的 AI Agent 及多 Agent 系统。 建设实验规划、科学推理、流程编排、知识管理及自主决策等智能能力。 实验室自动化与 Physical AI 推动 AI 与机器人、实验室自动化设备及科学仪器的深度集成。 构建连接 AI 决策、实验执行与结果反馈的闭环系统。 推动跨品牌、跨平台实验室生态的互联互通。 技术领导力 领导覆盖 AI、软件工程、自动化及生命科学的跨职能团队。 协同全球研发团队、外部合作伙伴及战略客户推动项目落地。 识别和评估前沿技术，制定平台发展策略。 任职要求 学历要求 生命科学、生物信息学、计算机、人工智能、机器人、生物医学工程等相关专业硕士及以上学历。 经验要求 10 年以上生命科学、生物医药、人工智能、自动化或科研软件相关行业经验。 具备大型软件平台或 AI 平台架构设计经验。 在 AI for Science、实验室自动化、机器人与 AI 融合或科研软件开发领域具备成功项目经验和技术领导力。 AI 与智能体技术 具备大语言模型（LLM）、AI Agent 及多 Agent 系统的实践经验。 具备 RAG、知识图谱及 Agent 流程编排经验。 熟悉 LangGraph、LangChain、Semantic Kernel、AutoGen 等框架。 了解 MCP（Model Context Protocol）。 实验室与自动化系统 具有软件与实验室仪器、机器人、自动化平台或信息物理系统的集成经验。 熟悉药物研发、多组学、合成生物学等科研流程。 优先考虑 具有自主实验室、AI Scientist、Scientific Copilot 或 Agentic Smart Device 平台建设经验。 了解数字孪生（Digital Twin）、Physical AI、科学基础模型或 AI 原生科研流程。 具备跨国创新环境工作经验。 具备创新创业精神和平台建设能力。 理想候选人画像 兼具科学家、AI 架构师、系统工程师、自动化创新者与技术战略家特质，能够将科研、AI、自动化与软件平台深度融合，推动下一代自主实验室从概念走向落地。 Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com.