首席架构科学家

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.

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.

Education Master's or PhD in Life Sciences, Bioinformatics, Computer Science, AI, Robotics, Biomedical Engineering, or related disciplines.

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.

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