首都医学科学创新中心生物医学人工智能研究所创新中心最新研究所：生物医学人工智能研究所招聘所长助理

中心简介

首都医学科学创新中心[Chinese Institutes for Medical Research (CIMR), Beijing]（简称创新中心）是北京市2023年11月成立的具有独立法人资格的新型研发机构。作为首都医科大学新校区建设三大板块之一，创新中心以推动医学科学发展、改善人类健康为目标，开展生物医学研究，致力于提升医学科学创新与成果转化能力，提高疾病诊断和治疗水平。我们将汇聚世界高水平科学家，与首都医学教育和科学研究优质资源紧密合作，打造多学科交叉融合的科研平台，综合自由探索、医学目标导向、有组织科研等途径，实践新型科研模式和体制机制，培养适应医学科学创新发展的优秀人才，推进医教研产的深度融合，助力首都医科大学成为世界一流的医科大学。

生物医学人工智能研究所介绍

生物医学人工智能研究所（CIBAS）成立于2026年，依托首都医学科学创新中心（CIMR）、首都医科大学及其附属医院的丰富临床资源，已构建起以国际知名科学家为引领、中青年学者为骨干的梯队式研究队伍。

CIBAS秉承从临床问题中来，到临床实践中去的核心理念，致力于打通从生物医学AI底层算法、精准药物研发到临床转化的全链条，重点布局四大研究方向：疾病靶点识别与表观基因组追踪、AI与物理驱动的分子与抗体设计、多药理学与系统毒理学评估，以及适应性临床试验设计与真实世界健康工具。

所长助理

我们正在寻找一位具备扎实工程与算法背景的高级系统工程师，担任执行所长在技术落地方向的核心助手。你将从零开始搭建CIBAS的核心技术工程体系，重点涵盖智能体计算管线编排、床端数据采集工具设计以及联邦式实验室数据库系统的推广。

一

主要职责

1. AI Agent智能体编排与计算管线工程（最高优先级）

• 设计并部署自动化、智能化的计算工作流，将研究所内各实验室的方法学（靶点识别、生成式分子/抗体设计、物理模拟及系统毒理学）无缝串联。

• 将研究团队的代码规范化为高可用 REST API、容器化环境（Docker/Apptainer），并在 HPC/GPU集群（Slurm调度系统）上部署可扩展的计算任务。

• 基于 Python、LangGraph、AutoGen或自研框架开发智能体编排系统，实现复杂多步生物物理与多组学建模任务的自动化运行。

2. 离线/边端临床数据采集框架（次高优先级）

• 针对医院网络物理隔离的现状，设计面向CMU附属医院临床医护人员的安全移动端/平板应用（或小程序）技术架构，实现结构化真实世界数据（RWE）的高效采集。

• 制定本地边端同步、数据加密及脱敏协议，确保数据流动在符合国家人类遗传资源（HGRAC）管理规定的前提下，合规出域。

• 负责对接外部软件开发商或外包团队，把控移动端产品的技术实现与交互质量。

3. 模块化实验室数据保险舱（Lab Vault）架构（中优先级）

• 架构轻量化、易部署的分布式数据库镜像模板（Lab Vault），供CIMR内部各实验室本地独立运行。

• 实现私有/共享双层权限机制：保障实验室对其未发表原始数据的绝对控制权与私密性，同时支持一键将已发表数据开放共享至研究所内部网络。

二

任职要求

1. 教育背景：计算机科学、软件工程、生物信息学、系统工程等相关专业硕士或博士学位。

2. Agentic AI与自动化开发：具备Agentic AI智能体系统实战经验，熟悉大模型Tool-Calling架构设计或复杂工作流引擎（如LangGraph、AutoGen、CrewAI、Nextflow、Prefect等）。

3. 应用与系统架构能力：具备REST/gRPC API设计开发经验，熟悉客户端/服务端架构，能够独立完成移动端/Web应用（iOS/Android/小程序/跨平台框架）的技术规格书制定与架构设计。

4. 技术栈基础：精通Python、C/C++，熟练掌握Docker/Singularity容器化技术、Linux/HPC高性能计算环境、Slurm调度及主流数据库（PostgreSQL、图数据库或向量数据库）。

5. 系统工程思维：熟悉网络安全、离线边端数据同步、数据加密及分布式/联邦数据架构的设计理念。

三

优先考虑条件

• 具备将科学计算命令行工具（CLI）及脚本封装为标准化Web API/服务的工程部署经验。

• 具有国内高校、科研院所或医院IT环境下的实际系统部署与对接经验。

福利待遇

1. 根据应聘者的工作经验和能力，提供具有市场竞争力的薪酬（详情面谈）；

2. 享受五险一金、带薪年假、体检和补充医疗保险等；

3. 支持个人发展，提供必要的工作相关专业培训。

申请方法

请将以下材料发送至 [email protected]

1. 个人简历；

2. 研究兴趣说明或未来研究计划；

3. 2-3 名推荐人的姓名及联系方式。

邮件主题：应聘者名字 + 具体应聘职位。

联系地址：北京市丰台区右安门外西头条10号-首都医学科学创新中心

本招聘长期有效，至招聘到合适人选为止。

同时欢迎对计算生物学感兴趣的各阶段实习生、联培生前来交流。

ABOUT CIMR

Chinese Institutes for Medical Research (CIMR), Beijing is a research institution committed to advancing basic and translational medical research. Founded in November 2023 as one of the three core pillars of the newly established Capital Medical University, CIMR focuses on addressing fundamental issues in human health by leveraging cutting-edge technologies and conducting interdisciplinary collaborations with world-class scientists and clinicians based in Beijing. CIMR also offers outstanding education and training programs for the next generation of medical scientists. Adhering to a science-oriented governance and operational framework to drive innovation in research and education, we are dedicated to helping Capital Medical University to become a world-class leading medical university.

About CIBAS

Established in 2026, the Chinese Institute for Biomedical AI Science (CIBAS) at the Chinese Institutes for Medical Research, Beijing (CIMR) is built around a tiered research team led by internationally recognized scientists. Leveraging the clinical resources of CIMR, Capital Medical University (CMU), and its affiliated hospital network, CIBAS adheres to the core mission of "originating from clinical needs and serving patient care."

By seamlessly integrating computational biology, physics-informed and data-driven modeling, and clinical translation, CIBAS systematically bridges the continuum from target discovery to clinical application across four core research areas: Target Discovery & Epigenomic Tracing, AI-&Physics-Driven Molecular and Antibody Design, Polypharmacology & Systems Toxicology, and Adaptive Clinical Trial Design & Real-World Health Tools.

Open Positions

Assistant to Director of Chinese Institute for Biomedical AI Science (CIBAS)

We are seeking a technically grounded Senior Systems Engineer to serve as the primary technical Assistant to the Acting Director. In this position, you will build and drive CIBAS's core operational infrastructure from the ground uptranslating our scientific vision into agentic computational pipelines, clinician-facing mobile specs, and federated data architectures.

Main Responsibilities:

a. AI Agent Orchestration & Computational Pipeline Engineering (Primary Focus)

• Design and deploy automated, agentic workflows that link multi-lab methodologies across CIBAS (target identification, generative molecular/antibody design, physics-based simulations, and systems toxicology).

• Standardize internal research code into production-ready APIs, containerized environments (Docker/Apptainer), and scalable HPC/GPU workflows on Slurm clusters.

• Develop agentic orchestration systems (using Python, LangGraph, AutoGen, or custom frameworks) to automate complex, multi-step biophysical and multi-omics modeling tasks.

b. Standalone Bedside Data Collection Frameworks (Secondary Focus)

• Architect secure, offline-first mobile or tablet applications (and mini-program technical specifications) for clinicians across CMU-affiliated hospital networks to gather structured real-world evidence (RWE).

• Establish local edge-synchronization, encryption, and data-deidentification protocols that enable compliant, controlled data egress across air-gapped hospital network boundaries satisfying HGRAC regulatory standards.

• Manage external software vendors or contract engineering teams to ensure mobile UI/UX specs align with hospital workflows.

c. Federated "Lab Vault" Database Infrastructure (Tertiary Focus)

• Design a modular, containerized database template ("Lab Vault") that individual CIMR laboratories can run independently on local servers.

• Implement a dual-zone permission model that guarantees labs complete control over their unpublished raw data while providing a simple interface to share published datasets across CIBAS.

Qualifications:

1. Education: Masters or Ph.D. in Computer Science, Software Engineering, Bioinformatics, Systems Engineering, or a related quantitative field.

2. Agentic AI & Automation: Demonstrated experience implementing Agentic AI systems, LLM tool-calling architectures, or complex workflow automation (e.g., LangGraph, AutoGen, CrewAI, Nextflow, or Prefect).

3. Application & System Architecture: Hands-on experience designing REST/gRPC APIs, client-server architectures, and technical specifications for mobile/web applications (iOS, Android, WeChat Mini-Programs, or cross-platform frameworks).

4. Core Technical Stack: Proficiency in Python, C/C++, Docker/Singularity, Linux/HPC environments, Slurm, and modern database platforms (PostgreSQL, graph databases, or vector stores).

5. Systems Mindset: Practical grasp of network security, offline-first data sync, encryption standards, and federated/distributed data architectures.

Preferred Experience:

• Direct experience integrating software pipelines with scientific compute clusters (HPC/GPU) or wrapping computational science CLI tools into web services/APIs.

• Experience with software system deployment within Chinese academic, clinical, or hospital IT environments.

Welfare Treatment

a. Competitive salary based on the applicants work experience and ability (salary negotiable).

b. Social insurance and housing fund, supplementary medical insurance, physical examination and paid annual leave.

c. Opportunities for career development and available professional guidance.

How to apply

Please send a resume, the names and contacts of 2-3 referees and other materials demonstrating research capabilities to [email protected], and indicate the applicant's name and specific position in the email subject.

Contact person: Dr. Fan

Address: No.10 Xitoutiao, Youanmenwai, Fengtai District, Beijing

This recruitment is valid for the long term until a suitable candidate is recruited.